Stratigraphie Modeling And 3D Spatial Analysis Using Photogrammetry And .

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Stratigraphie Modeling and 3D Spatial Analysis UsingPhotogrammetry and Octree Spatial DecompositionHartmut Tschauner' and Viviana Siveroni Salinas 'Department of AnthropologyBinghamton UniversityBinghamton, NY, USA Department of AnthropologyUniversity of PittsburghPittsburgh, PA, USAhartmut.tschauner@gmail.comAbstractThe destructive nature of archaeological excavation makes the complete documentation of excavated evidence critically important toour ability to evaluate archaeological knowledge claims. Long demanded by textbooks, such complete documentation and publicationhave only recently become practical through the use of digital spatial technologies. These technologies open an entirely new dimensionby making published evidence susceptible to independent re-analyses by the archaeological community. However, conventionalstratigraphie recording methods are highly selective, and 2.5D GIS data structures do not support modeling and true 3D spatial analysisof stratigraphie volume solids. This paper presents a stratigraphie recording strategy based on oblique digital photogrammetry thatis simple and inexpensive, yet comprehensive and accurate, and discusses approaches to solid modeling and 3D spatial analysis thatmeet the needs of archaeological stratigraphie analysis. These approaches are implemented in a custom software component underdevelopment and will be made available to the archaeological community at nominal cost.1 IntroductionSpatial data management technologies have been availablefor decades and, while still far from universally adopted inarchaeology, have been in use by individual practitionersfor a long time. Archaeology's traditional emphasis ongraphical documentation has always implicitly recognizedthe primacy of the spatial dimension of the archaeologicalrecord: time is derived from space (stratigraphy) and ourunderstanding of past cultural systems is based on the spatialrelations between features and artifacts (context). However,archaeologists have been slow in adapting the generalpurpose spatial data management tools offered by GIS to thecore needs of their field. Along with these tools, they haveoften imported analytical frameworks and approaches fromancillary fields that were earlier adopters of GIS, therebygiving archaeological GIS the status of a specialty subfieldclosely allied with environmental studies rather than a basictool of use to every professional engaged in collecting,managing, and interpreting primary archaeological data.One core area of archaeology—arguably its definingfeature in the public eye—that cries out for customizedspatial technologies is the field collection, analysis, storage,and dissemination of primary excavation data. Mostarchaeological uses ofGIS have skipped to "sexier" analyficalapplications. The availability of data appropriate for suchanalyses has been taken for granted. Moreover, borrowingmodels from other fields and reflecting the capabilities ofcommercially available GIS products, the overwhelmingmajority of applications are flatly two-dimensional (punintended), and regional analyses far outnumber intrasite studies (for an arbitrary recent selection, see AnayaHernandez, et al. 2003; Beck, et al. 2001; Cummings andWhittle 2003; De Silva and Pizziolo 2001; Goings 2003;Grau Mira 2003; Holcomb 2001; Jennings and Craig2001; Ladefoged et al. 2003; Llobera 2001; Stancic andVeljanovski 2000).However, when existing paper-based records aredigitized, the ability of GIS to integrate layers of informationfrom many sources brings previously ignored accuracyissues to the fore. Strings and line levels are whollyinadequate recording "technologies" for the digital age inwhich graphical documentation for the first time can bemuch more than pretty pictures. Building spatial databasesfor formal analysis from even the seemingly most thorough,exhaustive, and lavishly illustrated archaeological reportstends to be a sobering experience. Moreover, traditional,paper-based excavation records offer notoriously selectiveand inaccessible collections of spatial data that do notsupport formal analyses of the spatial dimension of thearchaeological record. In particular, profile drawings ofstratigraphie sections at the edges of excavation units providea spotty and arbitrary sample of a site's stratification thatmay or may not be representative of an entire unit. Save afew spot elevations on top of "significant" features, betweensections the vertical dimension goes essentially unrecorded.Thus, although probably no other activity consumes morefield time than the graphical documentation of spatialinformation, that information is notoriously incomplete,and it is buried in a paper medium that deprives it of theessential quality of "data," that is, being susceptible toanalysis, both by its collector and other researchers, linked toa particular theoretical question or framework. These spatialpseudo-data, along with numerous domains of descriptive(attribute) and image information, are collected separatelyin multiple places and formats—a hodgepodge of lists,

Hartmut Tschaimer and Viviana Siveroni Salinasforms, descriptive texts, drawings, and photographs—whichhinders data integration and hoHstic cross-examination of allclasses of evidence. This poor quality and inaccessibility ofspatial data is quite disturbing in a field in which the answerto just about every research question has at least a spatialcomponent.To make matters worse, in many parts of the worldan ever smaller fraction of this severely limited record ofarchaeological spatial information collected at the sourceis eventually published, let alone at a usable scale, giventhe cost of printing oversized plans. This publication biassends a clear message that cannot fail to have a feedback onthe standards of field data collection: the academy rewardscreative interpretation rather than "mere" collection ofevidence, your conclusions are more important than thequality of the evidence that supports them. In a discipline thatinevitably destroys its evidence in the process of studyingit, this creates a real and present danger of archaeologydevolving into a pre-scientific state of knowledge claimslargely being justified by an author's personal credentials,as well as the arguments' logical consistency, and hardlybeing backed by solid evidence that others can challenge(cf Barker 1993:13-14). As Barker puts it, "[i]f we misreadour documents as we destroy them, the primary evidencewe offer to those interested in the past will be wrong andthose following us will be misled but will have no way ofknowing it." All too often, field research has become a riteof passage, a procedural step required to lend credence toconclusions that the research proposal has drawn beforehand,without the primary evidence supporting those conclusionsever being laid out for public scrutiny. Before this backdrop,the universal use of digital spatial technologies in the field,both for more complete collection of more accurate spatialdata and as a prerequisite for their electronic publication infull and in a readily analyzable format, takes on enormousurgency, not as a mere technical improvement, but as amatter of significant theoretical repercussions.As a class of spatial data, units of archaeologicalstratification are sufficiently different from those of otherdisciplines to require specialized modeling approaches thatare not part of the standard repertoire of commercial GISand need to be adapted from existing methodologies, mostlyfrom geology, or developed from scratch. Like geologicalstrata, units of archaeological strafification are volume solidsand ought to be modeled as such. Unlike geological strata,archaeological units are typically not interpolated betweensparse sampling locations (boreholes), but fully exposed byhorizontal excavation. Current GIS data structures cannotmodel solid volume entities; they are at best 2.5 dimensional,with an elevation attribute tagged onto two-dimensionalfeatures and all spatial analysis taking place in a horizontalplane. To these models, the superimposed strata in a typicalarchaeological excavation unit are spatially identical, asthey all cover the same horizontal extent. The few geologicaland groundwater-modeling packages that have pioneered avoxel approach to solid modeling arc geared towards threedimensional interpolation from sparse borehole samples.They have trouble creating accurate stratigraphie unitsfrom fiiUy exposed and mapped interfaces and handling thecomplexity of all but the simplest cases of archaeological258stratification. Moreover, they do not facilitate attachingunlimited attribute data to spatial units, which is critical toarchaeology with its myriad classes of artifact, geological,and biological data tied to excavafion units. Finally,geological and groundwater-modeling packages tend to beexceedingly expensive, aimed at deep-pocket target marketsin the oil and gas exploration and utilities industries.Given this situation on the software market, it isnot surprising that published applications of GIS toarchaeological intra-site analysis and excavation mostlydeal with architecture or horizontal distributions of artifactssusceptible to spatial analysis in two dimensions (e.g.Cutting 2002; Buck, et al. 2003; Craig 2000; Dawson 2003;Fronza et al. 2001; Green et al. 2002; Levy et al. 2002;Peretto et al. 2001; O'Halloran and Spennemann 2002;Pugh 2003; Valenti 1998). Vertical, strafigraphic, and trulythree-dimensional (3D) analyses are rare (e.g., Nigro et al.2003; Spikins et al. 2002).The present paper addresses this gap in recordingstrategies and spatial data management software, presentingan effective, affordable, integrated solution forarchaeologicalstratigraphie modeling and 3D spatial analysis. Thissolution is composed of a field recording strategy basedon off-the-shelf oblique photogrammetry software and acustom modeling and 3D spatial analysis component underdevelopment that uses an octree spatial decompositionapproach to solid modeling of stratigraphie units and isintegrated with relational database management systemsfor optimal joining of spatial and attribute queries. The bulkof the following pages will be dedicated to describing thefield recording method, using real-world examples from ourexcavations at the site of Huayuri on the south coast of Pern(Siveroni et al. 2004). This will be followed by a discussionof the requirements for a specifical ly archaeological softwarepackage for the management and 3D spatial analysis ofstratigraphie volume solids, as well as the novel queriesthat such a system will facilitate. I will close by offeringa sketch of the architecture and capabilities of the opensource stratigraphie solid modeling software that is underdevelopment by the author and slated for initial release in2007.2 Stratigraphie Recording: ContactTopograpliy using Digital PhotogrammetryCiting the destructive nature of excavation, archaeologicaltextbooks have always admonished excavators to record andpublish the fiill 3D structure of excavated sites. In the paperand-pencil era, this was actually an unrealistic reportingstandard. Prior to the advent of digital mapping technologies,stratigraphie recording through section drawings atultimately arbitrary locafions (edges of excavation units,balks) and spot elevations was by necessity selective andsimply did not produce the data required for full 3D models.Moreover, the communicative power of such models, whenprinted on paper, would have been quite limited anyway.Today's digital spatial technologies, however, make itfairly painless to collect, store, and publish the necessaryinformation. These technologies finally enable us to live up

Stratigraphie Modeling and 3D Spatial Analysis Using Photogrammetry and Octree Spatial Decompositionto what has always been the textbook standard of archaeological reporting.To qualify as "painless," a data collection technologymust not only be simple, reliably accurate, and efficient touse under field conditions, but also affordable within thebudgetary constraints faced by the average archaeologicalproject, including projects based in developing countriesand graduate student dissertation research. Otherwise,technology will not be of much help in counteracting thedangerous tendencies discussed in the introduction. Onpurely technical grounds, 3D laser scanning clearly hasgreat potential as a stratigraphie recording technology, butits sticker price puts it out of reach of all but the wealthiestarchaeological projects and institutions. Equipment priceswill have to come down by at least 90% before 3D laserscanning is ready to go mainstream in archaeology, andthat is not likely to happen any time soon. In the meantime,oblique photogrammetry offers a productive and costeffective alternative with a spatial resolution that, whilesignificantly lower than that of 3D laser scanning, issufficient for most archaeological purposes and far superiorto traditional profile drawings and spot elevations. Whilephotogrammetry has been used in archaeology for quitesome time (e.g., Anderson 1982; Fussell 1982; Grün et al.2003; Meyera et al. 2006; RSuuther 1998; Sauerbier andGrün 2003; and numerous CIPA papers (see http://cipa.icomos.org/)), to our knowledge it has not been previouslyemployed as a systematic and comprehensive stratigraphierecording device.features may require multiple outlines on each surface theypenetrate. A 3D model is subsequently composed from theseslices, using a "tomographic" approach not unlike computertomography in medical imaging.As a spatial data collection task, stratigraphie recording has high accuracy requirements, particularly inthe vertical dimension, which is the hardest to measurewith accuracy. Layers of less than 1 cm in thickness mayrepresent meaningful stratigraphie events and thereforeneed to be distinguished. At the same time, systematic andcomprehensive interface mapping of entire sites produces asubstantial volume of spatial data, typically in the hundredsof interfaces and hundreds or thousands of polygon featureseach season. For example, the modest-sized excavations(ca. 270 m ) at the Late Intermediate Period site of Huayurion the south coast of Peru (Siveroni et al. 2004) so far haveproduced over 1,300 interface maps (Figure 1). Huayuriis a dense residential site with a complex sequence ofsuperimposed occupations that have left a multitude of oftenintricately nested features posing a significant challenge tocomprehensive three-dimensional recording (Figure 2).2.2 Oblique Digital PhotogrammetryOblique digital photogrammetry has proven itself capableof coping with this challenge, both in terms of accuracyand fieldwork efficiency, generating 2.5D surface models,polygon features, and orthophotos in one quick and simpleprocess. 2.5D surface models are extracted from sets of2.1 Contact TopographyAlthough we ultimatelywant to build solidvolume models, the mosteconomical way to do so,both from the fieldworkand software perspectives,is surface-based contacttopography, i.e., microtopographic maps of theupper interfaces of all unitsof stratification. Standard2.50 GIS software isable to create and displaythe interfaces; specialtysoftwaresubsequentlycreates solid volumessandwiched in between.Cut features, such as pits,postholes, etc., are treatedthe same way as layers.Their top interfaces areoutlined and mapped onthe surface from whichthey were cut; their bottominterfaces are mapped afterthe features have beenexcavated. Deep and narrowFigure I. Stratigraphie features at the Late Intermediate Period site of Huayuri, Santa Cruz Valley,south coast of Peru. Some 1,300 stratigraphie units have heen recorded in an excavated area of ca.270 m'.259

Hartmut Tschauner and Viviana Siveroni Salinas. 'Figure 2. Abundance of cut features in C3R19 at Huayuri.Photogrammetric recording has proven quite capable of handlingsituations as complex as this one.Figure 3. Typical camera pos it ions used in recording a stratigraphieinterface. The eight positions virtually assure that all significantpoints will show up on at least two, usually on three or more,images with strong (i.e., near right) angles between them.ground-referenced, oblique digital photographs takenfromseveral angles. Photogrammetry software designedfor reverse engineering, forensics and accident-scene260reconstruction, and architectural applications is relativelyinexpensive and appropriate for the scale of most excavationunits. The following discussion is based on my experienceswith PhotoModeler Pro 5.2 from EOS Systems (cf. Greenet al. 2002).Photographs to be processed in PhotoModeler maybe taken with standard digital cameras. These need to beindividually calibrated, but calibration for small to mediumsized target areas is a simple process that can be performedin-house. A standardized dot pattern known to the softwareis photographed from various angles and by resolvingthe photogrammetric equations in reverse, any deviationsfrom the known measurements of the pattern are used todetermine the relevant parameters of the camera-lenssystem. This process needs to be repeated for every camera,lens, and zoom level/focal distance. It is also advisable tocreate separate calibrations for different sizes of areas to bemeasured in the field, as the size of the calibration pattemought to be roughly the same as that of the objects to bemeasured. This imposes a practical limit on the size of areathat can be measured. Although the calibration dot pattemmay be projected at any size against a screen or clean wall,reasonably controlled lighting conditions will only beavailable indoors and rich collections of graffiti may makeit hard to find a suitably clean wall on a university campus.However, this problem is more apparent than real. Givenavailable camera resolutions, the level of detail desired offield photography, and the limited distances from the targetattainable through ladders or photo towers, it is preferableto cover larger excavation units with multiple, partiallyoverlapping sets of photographs. These sets are easilystitched together when processing the imagery, and theextra time for field photography is minimal.In the field, photographs for photogrammetricstratigraphie recording are best taken at the end of astandard field photography session for a newly exposedinterface, adding just a couple of extra minutes to thesession. Additional special photogrammetry sessions maybe required as individual features are exposed. Taking thesepictures hardly differs from standard archaeological fieldphotography. The camera may be hand held or mounted ona tripod or pole. Photographs are taken at a vertical angleof approximately 45 ; precise control of this angle is notrequired. All photographs in a set need to be taken with thesame lens, focal distance/zoom level, and from roughly thesame distance. For this reason, fixed lenses are safer thanzoom lenses, and autofocus must be turned off. For maximumaccuracy, the area of interest should cover as much of thecamera's field of vision as possible. To accomplish opfimalcoverage, it may be necessary to switch between landscapeand portrait modes (or anything in between) within the sameset of photographs. This will not cause any problems inprocessing the image sets.Every significant point needs to show up on at leasttwo ideally epipolar images, i.e., photographs taken frompositions at right angles to each other with respect to thetarget, which provide the strongest basis for measuring 3Dpositions. Two photographs are the minimum to determinea point's 3D position. A third image will add a redundantmeasurement that is helpfiil in detecting blunders. Field

Stratigraphie Modeling and 3D Spatial Analysis Using Photogrammetry and Oetree Spatial Decompositionexperience has shown that taking pictures froin eightpositions around a unit is just the right level of redundancy(Figure 3). It takes only a couple of minutes and virtuallyguarantees that even at the bottom of an excavation unit allrelevant points will show up on at least two near-epipolarimages.2.3 TargetsThe key to a successfully employing photogrammetry as astratigraphie recording tool is the placement of standardized,high-contrast targets on the surfaces to be recorded. Artificialtargets arc crucial because archaeological interfaces tend tobe of irregular shapes and seldom offer any sharply definedpoints that might be easily and precisely matched on severalphotographs. Moreover, assuming a reasonable amountof background noise, PhotoModeler can automaticallyrecognize and reference such targets (particularly circularones) on sets of photographs of the same scene with anaccuracy of less than one pixel, which is not achievableby a human operator marking "natural" points. Since theidentification of circular targets is based on a sphericityindex, the targets need to have a minimum diameter of 3-5pixels on each image, thus requiring different target sizesfor different excavation areas.The density of target placement determines the spatialresolution of the resulting model. At Huayuri, we place about500 targets on each interface of 6 to 10 m in 2D surfacearea (Figure 4). Targets are arranged to form a dense, moreor less regular grid, with additional ones placed whereversurface detail needs to be worked out. This density isevidently a far cry from point clouds produced by 3D laserscanning, but the resulting models are quite detailed andeven aesthetically pleasing without any manual touch-up.Extremely accidented surfaces covered with rubble or wallfall, particularly if there are vertical rock faces, may be theone exception from this rule. However, it is possible to sticktargets onto the vertical faces using reusable adhesive orpins (for soft materials).In addition to providing surface mass points, targets alsoserve to outline features on a surface, such as the mouthof a pit, a lens, or an artifact concentration (Figure 4). Theresulting points are later easily connected—not unlikechildren's cormect-the-dots coloring books—to form 2.5Dpolygons that represent the features in the excavation'sspatial database. A volume model may subsequently beconstructed from several such slices through the sameFigure 4. Circular targets placed on a stratigraphie interface at Huayuri. Here, 516 targets have been placed in an area of about 6.5m . The density, and hence the resolution of the model, could he increased with little extra effort. Feature edges have been outlinedwith circular targets. The resulting 3D points are easily connected to form 2.5D polygons in a GIS database. A full 3D model may becomposedfrom multiple such polygon slices though a feature that may be difficult to capture otherwise, for example a narrow posthole.Some images in a set may he taken with circular targets removed and only coded targets left on the interface. These images are used toproduce orthophotos for publication (cf. Figure 9).261

Hartmut Tschauner and Viviana Siveroni Salinasfeature photographed on successive surfaces cut by thatfeature. This approach is particularly useful for narrowfeatures such as pestholes, as it may be impossible to placeand photograph targets on their bottom interfaces.The targets placed on the interfaces fall into twocategories: (1) at least 6-10, relatively large, coded targets,evenly distributed across the image area and used fororienting the photographs, i.e., determining the camerapositions from which the pictures were taken (Figure 4);and (2) targets for automatic marking that produce the masspoints defining the surface models (Figure 4). Coded targetsfor orienting the images need to show up on every image ina set. Referencing them is either a somewhat tedious manualprocess of marking matching targets on multiple imagesor, if standardized targets are used, may be automaticallyperformed by the software. For automatically marked masspoints, we use circular, retro-reflective targets mountedon chips of heavy plastic material or—at sites with strongwinds—heavy, magnetic rubber. Coded targets are mountedon similar, if larger chips. These may, of course, also be usedfor mass points, but this is not recommended since codedtargets are substantially more expensive than the circularones and their larger area effectively limits the density oftarget placement. We produce the target chips ourselvesfrom commercially supplied rolls of adhesive target tape.Depending on field conditions and care in handling, thesechips may survive multiple field seasons. A more elegantand 100% wind-proof alternative to plastic targets is a targetprojector, but these devices are costly and do not operate onbattery power; thus, a power outlet or generator is neededin the field.based on brightness differences (as well as target shape) andit will be impossible to find a contrast setting that will notblur the target boundaries in some part of an image. Noisybackgrounds with objects whose shapes mimic that of thetargets (e.g., pebbles) may have a similar effect.In these cases, automatic target marking may beperformed in separate runs for sections of similar contrastwithin an image, but sometimes manual target marking maybe inevitable. This can be somewhat tedious, but at leastit does not add to the field time required for stratigraphierecording, and manual marking unfailingly works. Evidently,this problem is easily prevented by using an awning (Figure6) or roof, which many excavations in hot areas will haveanyway. Excessive heat may also deform or even meltthe plastic material of the targets. In hot climates, targetexposure to the sun should therefore be kept to a minimum,and the targets must be stored in the shade.Wind may either move the targets or cover them withdust or sand. At the bottom of an excavation pit, however,this problem is much less acute than might be expected.Where the wind is too strong, targets mounted on magneticrubber or even heavier materials will be the answer. Despite2.4 GeoreferencingPhotogrammetric measurements are entirely relative; thus,it is necessary to shoot in at least three coded targets witha total station, preferably more for backup and accuracychecks. PhotoModeler will use these points to performa least-squares adjustment, properly scaling and rotatingthe model. The total-station is the most expensive piece ofequipment required for this stratigraphie recording method.However, total stations are in common use by archaeologiststoday. Moreover, since the number of points to be shot isfairly low and no linework is required, even a simple andcheap instrument without fancy data collection, graphicalmap display, and geometry editing capabilities will beadequate to do the job.2.5 Problem AreasAt Huayuri, this method of stratigraphie recording has provenrobust, productive, and accurate. A few minor problems arecaused by excessively bright sunlight, heat, and wind, butthere are simple solutions to all of them. Bright sunlight mayresult in extreme contrasts and the black plastic backgroundof the targets reflecting as much light as the reflective dot(Figure 5). Under these circumstances, automatic targetmarking will not be effective since target recognition is262Figure 5. Excessively bright sunlight may make the black plasticbackground ofsome targets reflect as much light as the central reflective dot and cause extreme brightness differences between different sections of the image. Multiple automatic marking runs oreven manual target marking may be required. This problem is bestavoided by using an awning or roof (see Figure 6).

Stratigraphie Modeling and 3D Spatial Analysis Using Photogrammetry and Octree Spatial Decompositionthese minor issues, not a single image set—including ourvery first experiments—has ever failed to process.2.6 ProductivityPhotogrammetry is not only a robust method of stratigraphierecording but also exceptionally productive. The entirerecording procedure—placing targets, photography, andshooting reference points—will take about 20-30 minutesper surface. Cleaning the unit prior to photography is onlynecessary if orthophotos for publication are to be produced,but this will cause no extra work if photogrammetry imagesare taken as part of regular photo sessions. Additional detailcomes virtually for free; placing another 100 or so targetswill take no more than a couple of minutes. Around 15-60minutes of office time are required to post-process eachsurface, depending on how much manual labor is required.In most cases, the actual time will be closer to the lower endof this range.Figure 6. A simple, improvised awning and photo tower go a longway toward avoiding potential problems with photogrammetricrecording in the field.Figure 8. Outputs of photogrammetric stratigraphie recording(2): 2.5D polygons.In return, we simultaneously obtain detailed 2.5D surfacemodels of layers and features (Figures 7, 1), 2.5D polygonsrepresenting features or slices through features (Figure 8),and orthophotos (Figure 9). Thus, this recording methodreplaces profile drafting, plan view drafting, and part of fieldphotography—the whole range of graphical documentation,eliminating the need for essentially all hand drafting. Theresulting records are far more complete than traditionalpaper records and immediately available in digital format,ready to enter a GIS database.2.7 Accuracy Under Field ConditionsThe accuracy attainable with photogrammetry under actualfield conditions is quite acceptable. From the Huayuri site,we have 81 coded targets whose position was determinedboth photogrammetrically and by total station and that werenot used in the PhotoModeler least-squares adjustments.Thus, these measurements are redundant and may be usedFigure 7. Outputs of photogrammetric stratigraphie recording(1): 2.5D surface projected onto a digital photograph.Figure 9. Outputs of photogrammetric stratigraphie recording(3): orthophotos. Circular targets for automatic marking may beremoved and only coded targets left in the scene iforthophotos areto be published. See Figure 6

of stratigraphie volume solids. This paper presents a stratigraphie recording strategy based on oblique digital photogrammetry that is simple and inexpensive, yet comprehensive and accurate, and discusses approaches to solid modeling and 3D spatial analysis that meet the needs of archaeological stratigraphie analysis.

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