Changes between Version 25 and Version 26 of ACompletePhotogrammetricOSSIMtoolForAutomaticDSMenerationUsingMultiViewOpticalAndSARimages


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Timestamp:
Aug 15, 2016, 8:34:52 AM (8 years ago)
Author:
martidi
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  • ACompletePhotogrammetricOSSIMtoolForAutomaticDSMenerationUsingMultiViewOpticalAndSARimages

    v25 v26  
    310310At the moment I have a problem with masks generation (sometimes wrong masks are created) and DSMs generation (wrong horizontal lines are generated in the DSMs) but I'm already working to fix it.
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     313[[BR]]
     314=== Weekly Report 12 (14th August, 2016) ===
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     316BRIEF DESCRIPTION OF THE IDEA:
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     318My project concerned the improvement and the implementation of new functionalities for DATE (Digital Automatic Terrain Extractor) OSSIM plug-in, which development I had started two years ago. In particular the focus was about the complete automatization of the pyramidal approach of the tool chain and the creation of a complete workflow for DSMs generation from SAR images.
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     320[[BR]]
     321THE STATE OF THE PROJECT AS IT WAS BEFORE MY 2016 GSoC:
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     323Before this GSoC, DATE was an OSSIM plug-in for DSMs generation from optical stereo-pair and triplets, not able to process SAR images. Moreover, if you have got more than a triplets, for example a stack of images, you had to manually merge the DSMs obtained to fuse the informations.
     324Furthermore, the pyramidal approach implemented was not automatic.
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     326[[BR]]
     327THE ADDITION THAT MY PROJECT BROUGHT TO THE SOFTWARE:
     328My work has complemented OSSIM with some processing algorithms for high resolution satellite optical and SAR images. With my addition, now it is possible to generate automatically DSMs from SAR imagery using an iterative coarse-to-fine approach, to take advantage of iterative solutions at gradually increasing resolution. Furthermore, I have implemented automatic masks generation for foreshortening and layover areas in SAR images: so far, it is possible to generate a DSM from SAR imagery (automatically detecting the ascending or descending orbit), masked for foreshortening and layover areas in order to correct from potential geometric distortions. Moreover, in order to obtain a more accurate DSM by exploiting the redundancy of multiple information, I have implemented the DSMs merging on the basis of mean and standard deviation of ascending and descending stacks and of the automated generated masks for foreshortening and layover areas in SAR images.
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     332Here https://github.com/martidi/opencv_dsm/tree/imageStack you can find all the code I developed and the instructions to test it.
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     337An image to show the main elements of my project will be soon loaded on the OSGeo wiki.
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