Madagascar2011 - 09 OTB Change detection framework

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Madagascar2011 - 09 OTB Change detection framework

  1. 1. Orfeo ToolboxChange detection Stéphane MAYstephane.may@cnes.fr orfeo-toolbox.org 1
  2. 2. Change detectionGoal Identify changes between 2 imagesMain problems Exceptional change (crisis) mixed with Natural changes (vegetation evolution) orfeo-toolbox.org 2
  3. 3. MonteverdiFiltering Change Detection orfeo-toolbox.org 3
  4. 4. Use case 1 : change detection moduleMenu File > Open ./img_gloucester_spot_av_ap/Spot5-Gloucester-before.tif ./img_gloucester_spot_av_ap/Spot5-Gloucester-after.tifMenu > Filtering > Change detection Click on changed class ➢ Select changed areas Click on unchanged class ➢ Select unchanged areas Learn Display results orfeo-toolbox.org 4
  5. 5. Use case 2 : change detection with SVM classif. module Menu File > Open ./img_gloucester_spot_av_ap/Spot5-Gloucester-before.tif ./img_gloucester_spot_av_ap/Spot5-Gloucester-after.tif Menu File > Concatenate image Insert “after channels” first Menu Learning > SVM classification Create changed class Create unchanged class Learn Display Add new areas to refine your results Option : add features to enhance results (Feature Extraction Module) orfeo-toolbox.org 5
  6. 6. Use case 3 : RADAR change detect. with SVM classif.Menu File > Open ./img_gloucester_av_ap/ERSAvantSmall.png ./img_gloucester_av_ap/ERSApresSmall.pngMenu SAR >Despeckle Lee filter ➢ Radius 5Menu File > Concatenate image Insert crisis image first. Insert before image twice for visualisation.Menu Learning > SVM classification Create changed class Create unchanged class Learn, Display Add new areas to refine your results orfeo-toolbox.org 6
  7. 7. Use case 4 : RADAR change detection with band math Menu File > Open ./img_gloucester_spot_av_ap/Spot5-Gloucester-before.tif ./img_gloucester_spot_av_ap/Spot5-Gloucester-after.tif Menu SAR >Despeckle Lee filter ➢ Radius 5 Menu Filtering > Band math abs(im1b1-im2b1) min(im1b1/im2b1, im2b1/im1b1) Invent your formula ! orfeo-toolbox.org 7
  8. 8. Use case 5 : classif. based change detectionMenu File > Open ./output_fus1.tif ./output_fus2b.tifMenu Learning > SVM classification (file1) Create land cover classes (water, vegetation, soil, roads, houses)Menu Learning > SVM classification (file2) Create land cover classes (water, vegetation, soil, roads, houses)Menu File > Concatenate images (land cover files)Menu Learning > SVM classification Create changed class / unchanged class Learn, DisplayMenu filtering > Band math orfeo-toolbox.org Select interesting couples of values from land cover files 8
  9. 9. MonteverdiThank you for your attention ! orfeo-toolbox.org 9

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