Your SlideShare is downloading. ×
Madagascar2011 - 05 - Monteverdi first steps
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×

Saving this for later?

Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime - even offline.

Text the download link to your phone

Standard text messaging rates apply

Madagascar2011 - 05 - Monteverdi first steps

1,416
views

Published on

Published in: Technology, Art & Photos

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
1,416
On Slideshare
0
From Embeds
0
Number of Embeds
2
Actions
Shares
0
Downloads
54
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. First use with the Orfeo Toolbox framework Monteverdi Stéphane MAY stephane.may@cnes.fr orfeo-toolbox.org 1
  • 2. Use case 1 : open an image, and discover the viewer Menu File > Open Im4_C_29042009_170_395/372076101/SPVIEW01/IMAGERY.TIF Menu Visualization > Viewer Select your input images Discover the viewer functionalities Alternative : right click on the module in the pipeline orfeo-toolbox.org 2
  • 3. Monteverdi – ViewerVisualization Viewer (1/5) orfeo-toolbox.org 3
  • 4. Monteverdi - ViewerVisualization Viewer (2/5) orfeo-toolbox.org 4
  • 5. Monteverdi - ViewerVisualization Viewer (3/5) orfeo-toolbox.org 5
  • 6. Monteverdi - ViewerVisualization Viewer (4/5) orfeo-toolbox.org 6
  • 7. Monteverdi - ViewerVisualization Viewer (5/5) orfeo-toolbox.org 7
  • 8. Use case 2 : create a pipeline, save an imageMenu File > Open Im4_C_29042009_170_395/372076101/SPVIEW01/IMAGERY.TIFMenu Visualization > Viewer (lock the pipeline !)File > Extract ROI from dataset Positions (x,y) = [3000,3000], sizeX=500 (w), sizeY=600 (h)File > Save datasetFile > Save dataset (advanced) Save only Channel 1 in Float typeSeel also : Right click on pipeline module ExtractROI > Show module Cache dataset orfeo-toolbox.org 8
  • 9. Monteverdi - ROIFile > Extract ROI orfeo-toolbox.org 9
  • 10. Monteverdi – Save datasetFile > Save dataset (advanced) Choice of data type Choice of output channels orfeo-toolbox.org 10
  • 11. Use case 3 : threshold an imageMenu File > Open ./theme2/extraitIm2_C/Im2_c_extrait.tifMenu Filtering > Threshold Generic Threshold / Threshold Above / Change Lower threshold Generic Threshold / Threshold Below / Change Upper Threshold ➢ Role of outside value ➢ Role of alpha (alpha blending) : alpha=0 Generic Threshold / Threshold outside / Change upper & lower th. Binary threshold / Lower & Upper threshold / Outside & Inside values orfeo-toolbox.org 11
  • 12. Monteverdi - ThresholdFiltering Threshold orfeo-toolbox.org 12
  • 13. Monteverdi – Feature extractionFiltering Feature Extraction (1/3) orfeo-toolbox.org 13
  • 14. Monteverdi – Feature extractionFiltering Feature Extraction (2/3) orfeo-toolbox.org 14
  • 15. Monteverdi – Feature extractionFiltering Feature Extraction (3/3) ➢ More than 65 features ! Mean, variance, Gradient, spectral angle Textures (energy, entropy, contrast, etc) Morphological filters Radiometric indexes • Vegetation (NDVI, ARVI, etc), Soil, Built up, Water Edge density Mean shift Original data (=> no need to concatenate channels after filtering) Etc orfeo-toolbox.org 15
  • 16. Use case 4 : Feature extraction (1/3)Menu File > Open ./theme2/extraitIm2_C/Im2_c_extrait.tifMenu Filtering > Feature extraction Test the following features (See OTB-Software-Guide.pdf for technical details on algorithms) ➢ Original data (=> no need to concatenate channels after filtering) ➢ Edge detection : Touzi ➢ Spectral angle : choose one vegetation pixel ➢ Variance ➢ Mean ➢ Rec. gradient ➢ Morphology > Morphology opening ➢ Edge density > Sobel orfeo-toolbox.org 16
  • 17. Use case 4 : Feature extraction (2/3)Menu Filtering > Feature extraction Test the following features (See OTB-Software-Guide.pdf for technical details on algorithms) : ➢ Radiometric indexes Vegetation • NDVI, RVI, PVI, etc Soil • BI2 Built up • ISU Further work : ➢ Rename output image channels ➢ Save your result ➢ Build Mean, variance image on a Touzi image orfeo-toolbox.org 17
  • 18. Use case 4 : Feature extraction (3/3)Solution : mean, variance over Touzi image Reader Feature Extraction (Reader0) > Touzi Feature Extraction (FeatureExtraction1) > Mean, Variance Save your result orfeo-toolbox.org 18
  • 19. Use case 5 : concatenate your resultsMenu File > Open ./theme2/extraitIm2_C/Im2_c_extrait.tifMenu Filtering > Feature extraction > NDVIMenu File > Concatenate Image Add Reader0 → Channel 1 Add Reader0 → Channel 2 Add FeatureExtraction1 → OutputImageView the result orfeo-toolbox.org 19
  • 20. Monteverdi – Concatenate imagesFile > Concatenate images orfeo-toolbox.org 20
  • 21. OTB – Concatenate imagesCommand line tool otbConcatenateImages-cli -il image1.tif image2.tif -out img_concat.tif orfeo-toolbox.org 21
  • 22. MonteverdiThank you for your attention ! orfeo-toolbox.org 22