Evaluation Of ENVI Feature Extraction For Geological .

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Evaluation of ENVI Feature Extractionfor geological mapping in arid environmentsDr. D.G Tragheim1 and Dr. K.B. Smith2British Geological Survey, Keyworth, Notts. UK1dgt@bgs.ac.uk 2kmcm@bgs.ac.uk NERC All rights reserved

Reasons for Evaluation ofENVI FX Thanks to ITT VIS for evaluation license & timeextensionGeological remote sensing data is very complexTraditionally manually interpreted on map or onscreenTime consumingSubjective interpretationsStandard digital classifications give mixed resultsPotential fast technique for regional scale mappingand interpretation NERC All rights reserved

ENVI Feature Extraction WorkflowBGS Trial WorkflowFind ObjectsExtract FeaturesSegment ImagesDefine FeaturesMerge SegmentsRefine Segmentsand MergeCompute Attributes NERC All rights cationExport FeaturesView Reports and Statistics

Geological Environments Saudi Arabia - sedimentary and metamorphicterrain with granite intrusions and Quaternaryvolcanics Morocco – sedimentary and metamorphic terrainwith igneous intrusions Ethiopia – rifting volcanic terrain Tristan-da-Cunha – volcanic island in South Atlantic NERC All rights reserved

Saudi Arabia NERC All rights reserved

Saudi Arabia: Day ASTER NERC All rights reservedRAW *.hdf filesOrthorectified using SRTMNearest Neighbour ImageBilinear Interpolation DEMVNIR (15m)SWIR (30m)TIR (90m)Atmospheric Correction

Saudi Arabia: ASTER taken 2001-11-02. Sub-area 1.ENVI FX: segment 35 merge 90 on pc1-pc2-pc3 NERC All rights reserved

Saudi Arabia: ASTER taken 2001-11-02. Sub-area 1.ENVI FX: segment 35 merge 95 on pc1-pc2-pc3 NERC All rights reserved

Saudi Arabia: ASTER taken 2001-11-02. Sub-area 1.ENVI FX: segment 35 merge 99 on pc1-pc2-pc3 NERC All rights reserved

Saudi Arabia: ASTER taken 2001-11-02. Sub-area 1.ENVI FX: segment 35 merge 99 on VNIR bands1-2-3 NERC All rights reserved

Saudi Arabia: ASTER taken 2001-11-02. Sub-area 2.ENVI FX: Classified using pc1-pc2-pc3Unclassified ASTER VNIR bands 1-2-3 in red-green-blueClassified segment 25 merge 95 NERC All rights reservedClassified segment 25 merge 85Classified segment 25 merge 95 vectors

Comparison of sub-area 1 results with geological mapExtract from 1:250,000 geological map of the Al Wajh Quadrangle, Sheet 26B, Kingdom of Saudi Arabia (Davies, F.B. 1985) NERC All rights reserved

Saudi Arabia: Night ASTER NERC All rights reservedRAW *.hdf filesOrthorectified using SRTMNearest Neighbour ImageBilinear Interpolation DEMTIR (90m)Atmospheric Correction

DayDayPC 3:2:1Night NERC All rights reservedClassified S35:M99NightDayFX vectors S35:M99Night

Comparison of sub-area 3 results with geological mapDay S35:M99 resultsExtract from 1:250,000 geological map of the Al Wajh Quadrangle, Sheet 26B, Kingdom of Saudi Arabia (Davies, F.B. 1985) NERC All rights reserved

Comparison of sub-area 3 results with geological mapDay and Night S35:M99 resultsExtract from 1:250,000 geological map of the Al Wajh Quadrangle, Sheet 26B, Kingdom of Saudi Arabia (Davies, F.B. 1985) NERC All rights reserved

Morocco: Sedimentary and metamorphic withigneous intrusions NERC All rights reserved

Morocco study area with geological mapSchists(browns & pale-green)Granites & granodiroites(reds & pale pinks)Quartzites(dark green)Extract from 1:500,000 geological map ofMorocco, Marrakech Sheet (Division de laGéologie, Ministère de la ProductionIndustrielle et des Mines, 1955) NERC All rights reserved

Morocco: ASTER mosaic of 4 scenesOrthorectified using ENVI(SRTM as ground control)Stacked VNIR SWIR 9 bands(30m pixels)Mosaic not balanced to see whateffect it would have on ENVI Fx NERC All rights reserved

Morocco ASTER 231 ENVI FX Classified ResultsabClassified: Segment 25 Merged 70cClassified: Segment 25 Merged 90dClassified: Segment 35 Merged 80 NERC All rights reservedClassified: Segment 45 Merged 90

Afar Volcanic Terrain NERC All rights reserved

Afar Volcanic Terrain: Topographic Structure NERC All rights reserved C.Vye N.E.R.C. C.Vye N.E.R.C. C.Vye N.E.R.C. C.Vye N.E.R.C.

Afar Volcanic Terrain: Geological Features NERC All rights reserved C.Vye N.E.R.C. C.Vye N.E.R.C. C.Vye N.E.R.C. C.Vye N.E.R.C.

Afar Volcanics: ASTER taken 2005-06-19Stacked VNIR SWIR ( 9 bands)ASTER VNIR bands 3-2-1 in red-green-blueASTER SWIR bands 9-6-4 in red-green-blueRaw ASTER data supplied by Afar Rift Consortium Project:(Universities of Leeds, Bristol, Cambridge, Edinburgh, Oxford) NERC All rights reserved

Afar Volcanics: ASTER taken 2005-06-19Stacked VNIR SWIR ( 9 bands)ASTER hybrid image pc3-dc1-pc2 in red-green-blue NERC All rights reservedASTER hybrid image pc3-dc2-pc1 in red-green-blue

Afar Volcanics: ASTER taken 2005-06-19Principal Components VNIR SWIR ( 9 bands)ASTER false-colour composite image pc2-pc3-pc5 NERC All rights reservedASTER false-colour composite image pc3-pc1-pc5

Afar Volcanics ASTER pc315 ENVI FX Classified ResultabSegment 25 Merged 70c NERC All rights reservedd

Tristan-da-Cunha: Volcanic Island inSouth Atlantic OceanTristan-da-CunhaView south NERC All rights reservedView northView east

Tristan-da-Cunha: Landsat PC 321 ENVI FX: s80 m85 NERC All rights reservedPath194 row86 taken 1999-10-22

Tristan-da-Cunha: Landsat PC 321 ENVI FX: s80 m90 NERC All rights reserved

Tristan-da-Cunha: Landsat PC 321 ENVI FX: s80 m95 NERC All rights reserved

Tristan-da-Cunha: Landsat PC 321 classified s80 m85 NERC All rights reserved

Tristan-da-Cunha: Landsat PC 321 classified s80 m95 NERC All rights reserved

Tristan-da-Cunha: Landsat ETMpath194r086 taken 1999-10-22Bands 321 vectorsSegment 80 merge85 NERC All rights reservedPC 321 vectorssegment 80 merge 85

Conclusions Better to use 3-band visually discriminating compositeimages (i.e. PCA, Decorrelation, MNF) Promising results in volcanic terrain e.g. Afar, Ethiopia Tristan-da-Cunha results excellent Morocco results moderate Saudi Arabia results good to fair NERC All rights reserved

ConclusionsGood points Optimal segmentation ratio25-35Optimal merge 90Interactive viewing forsegmenting and mergingMulti-layered approachLimitations Can only use small tomoderate sizes( 3000 x 3000 pixels)Need to experimentImage specificNo interactive mergecapabilityNeeds smoothing algorithmoutside rule-basedclassificationPreliminary results suggest ENVI Feature Extractionmodule shows promise for geological applications NERC All rights reserved

Evaluation of ENVI Feature Extraction for geological mapping in arid environments Dr. D.G Tragheim1 and Dr. K.B. Smith2 British Geological Sur

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