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New modules of the software package “PHOTOMOD Radar”

X th International Scientific and Technical Conference From Imagery to Map: Digital Photogrammetric Technologies. New modules of the software package “PHOTOMOD Radar”. Roman I. Shuvalov. September 20 10 , Gaeta , Italy. Images Coherent Coregistration Tool. 1. Target Response Analysis.

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New modules of the software package “PHOTOMOD Radar”

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  1. Xth International Scientific and Technical Conference From Imagery to Map: Digital Photogrammetric Technologies New modules of the software package “PHOTOMOD Radar” Roman I. Shuvalov September 2010, Gaeta, Italy

  2. Images Coherent Coregistration Tool 1 Target Response Analysis Radiometric Errors Analysis Geometric Errors Analysis Image Statistics Analysis Image Quality Estimation Tools 2 2.1 2.2 2.3 2.4 PHOTOMOD Radar.What’s new?

  3. Images loading Coregistration The joint processing may be: PHOTOMOD Radar Images Coherent Coregistration Tool Pixels classification Joint thematic processing Coherence evolution analysis “Images Coherent Coregistration Tool” has an embedded classificator and tools for coregistered images joint visualization. Multilooking Permanent scatterers interferometry Differential interferometry Others… Images Coherent Coregistration Tool Coherent coregistration & Joint processing

  4. Interface of the software “Images Coherent Coregistration” The tool “Images Coherent Coregistration” allows to coregistrate radar images automatically with subpixel accuracy. Images Coherent Coregistration Tool

  5. “Images Coherent Coregistration Tool” is intended for the joint processing of the set of radar images: 1) spatial coregistration of the set of SAR images, 2) joint visualization, 3) pixel statistics estimation, 4) pixel classification. The input data are: - interferometric set of SAR complex images. Images Coherent Coregistration Tool

  6. The output data are: - interferometric set of coregistered SAR complex images, - amplitude image with increased radiometric resolution, - mean coherence image that characterizes changes of the underlying surface, - amplitude stability image that characterizes the stability of the backscattered signal power, - result of pixels classification. Images Coherent Coregistration Tool

  7. Sequence of processing steps Images loading and sorting Input set of images Coherent coregistration time Characteristics Overlapping region calculation Pixel statistics estimation Classes Pixel classification Images Coherent Coregistration Tool

  8. Tab “Images” is intended for input data loading and sorting. time Images Coherent Coregistration Tool

  9. Tab “Coregistering” is intended for input images coregistration. Coregistration settings dialog There are two coregistration methods: manual and automatic. Images Coherent Coregistration Tool

  10. Tab “Multilooking” is intended for pixel numerical characteristics estimation. Mean amplitude: Amplitude stability: Mean coherence: Images Coherent Coregistration Tool

  11. Mean amplitude Amplitude stability Images Coherent Coregistration Tool

  12. Mean coherence Pseudocolor representation of the estimated pixel characteristics: Amplitude stability  Red channel, Mean amplitude  Green channel, Mean coherence  Blue channel. Images Coherent Coregistration Tool

  13. Pseudocolor representation of the estimated pixel characteristics: Amplitude stability  Red channel, Mean amplitude  Green channel, Mean coherence  Blue channel. Images Coherent Coregistration Tool

  14. Pseudocolor representation of the estimated pixel characteristics: Amplitude stability  Red channel, Mean amplitude  Green channel, Mean coherence  Blue channel. Images Coherent Coregistration Tool

  15. Pseudocolors interpretation Images Coherent Coregistration Tool

  16. Radar shadow Pavement Front wall of the building Strong permanent scatterer Images Coherent Coregistration Tool Examples of objects

  17. Examples of objects Patch of water surface Bridge over the river. Water surroundings Vegetation Images Coherent Coregistration Tool

  18. Tab “Pseudocolor” allows to create pseudocolor composite image on the base of any three images of the input set. Images Coherent Coregistration Tool

  19. Images Coherent Coregistration Tool Pseudocolor representation of three amplitude images.

  20. Pseudocolor representation of three amplitude images. Images Coherent Coregistration Tool

  21. Pseudocolor representation of three amplitude images. Images Coherent Coregistration Tool

  22. Tab “Differences” allows to generate difference-images (or ratio-images) from the input set of images. Images Coherent Coregistration Tool

  23. Pseudocolor representation of three amplitude difference-images. Images Coherent Coregistration Tool

  24. Pseudocolor representation of three amplitude difference-images. Images Coherent Coregistration Tool

  25. Tab “Classes” is intended for the image pixels classification. Two types of classification are available: amplitudes based and characteristicsbased. Images Coherent Coregistration Tool

  26. Result of classification acquired using Bayes method on the base of Gauss model. Four classes dominate: blue (water surface, radar shadow), green (vegetation), brown (roads), and yellow (buildings). Images Coherent Coregistration Tool

  27. Land covers classification Image enhancement Applications Change detection (coherent & incoherent) Ground subsidence monitoring Images Coherent Coregistration Tool

  28. Image Quality Estimation Tools

  29. The tool “Pulse Response Analysis” allows getting target response profile on the image. Estimated parameters are: 1) Local maximum location, 2) Peak power (dB), 3) Peak width (meters), 4) First zero location, 5) Second zero location, 6) First sidelobe location, 7) Pulse response mainlobe energy (dB), 8) First sidelobe energy, 9) Ratio of sidelobe energy to mainlobe energy, and some others… Interface of the software tool “Pulse Response Analysis”. Software tool for pulse response analysis

  30. Pulse response function schematic view - mainlobe region - sidelobe region - noise region Pulse response on the SAR image 3D view of the interpolated pulse response function Interpolated pulse response function Software tool for pulse response analysis

  31. Interpolated profiles along range and azimuth Analysis option could be adjusted RADARSAT-1. Product type – SGX. Beam – F2. Software tool for pulse response analysis

  32. Report generated by the software tool. It contains results of SAR impulse response function analysis. Software tool for pulse response analysis

  33. The set of ground control points is required. Estimated parameters are: 1) absolute location accuracy, 2) absolute geometric distortions, 3) relative geometric distortions The report in textual file is generated. Interface of the software tool “Image Geometry Analysis”. Software tool for geometric analysis

  34. Software tool for geometric analysis Geometric errors may be viewed and measured in the “Viewer”.

  35. Estimated parameters are: 1) relative radiometric error, 2) radiometric linearity, 3) range ambiguity level, 4) azimuth ambiguity level, 5) equivalent number of independent looks, 6) mean level of the additive noise. The report in textual file is generated. Interface of the software tool “Image Radiometry Analysis”. Software tool for radiometric analysis

  36. Rectangular frames for relative radiometric error estimating Input image Set of corner reflectors for radiometric linearity estimation Rectangular frame for equivalent number of independent looks estimating Estimating of additive noise mean level Software tool for radiometric analysis

  37. The dialog of the radiometric analysis settings Software tool for radiometric analysis

  38. Azimuth ambiguity level estimating Object which gives strong backscattered signal Azimuth ambiguity zone The position of the ambiguity zone iscalculated automatically. Software tool for radiometric analysis

  39. Range ambiguity level estimating Object which gives strong backscattered signal Range ambiguity zone Input image for the range ambiguity level estimation. On the sea surface in the left part of the image one can see range ambiguity spots. The strong backscattered signal from the mountain ridges in the right part of the image is laid over the weak signal from the sea surface. Rectangular frames for range ambiguity level estimation. The position of the ambiguity zone iscalculated automatically. Dialog of the estimation settings Software tool for radiometric analysis

  40. The tool “Image Statistics Analysis” allows to draw histogram of the image and to estimate basic numeric characteristics of the image. Estimated parameters are: 1) maximum value on the image, 2) percent of pixels with maximum value, 3) minimum value on the image, 4) percent of pixels with minimum value, 5) image dynamic range, 6) peak histogram value, 7) mean value on the image, 8) standard deviation on the image. The report in textual file is generated. Interface of the software tool “Image Statistics Analysis”. Software tool for image statistics analysis

  41. Possible applications SAR images quality control SAR image parameters estimation SAR image understanding SAR image generation PHOTOMOD Radar Image Quality Estimation Tools Image quality control Image thematic processing Image Quality Estimation Tools

  42. Thank you for attention !

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