PolSDP - 29May13
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NRSC Presentation for demo of RISAT-1 data processing

NRSC Presentation for demo of RISAT-1 data processing
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PolSDP - 29May13 Presentation Transcript

  • 1. Shaunak DeCentre of Studies In Resources Engineering – IIT Bombay14-Jun-13 1
  • 2. 14-Jun-13 2
  • 3. 14-Jun-13 3
  • 4. 14-Jun-13 4
  • 5. • Input Product Directory• Sub-Directories and Files will be detectedAutomatically• Output Directory• Exported products will be placed hereMultilook Factor and otherinformation displayed hereLeader files, Scenes, Data Files, GridFiles, Meta Files are listed here• Enter the desired Range multilook• Azimuth multilook is automaticallycalculatedChoose the desiredoutputs and click “Run”14-Jun-13 5
  • 6. • Two channel data – i.e. RH and RV• Supplied as I,Q (complex) 16 bitinteger values• After conversion to float C2 is calculated:14-Jun-13 6
  • 7. RGB Color Composition 2Blue = C22Green = C11 +2 Re(C12) + C22Red = C11RGB Color Composition 1Blue = C11Green = C11 +2 Re(C12) + C22Red= C2214-Jun-13 7
  • 8. • The “I” and “Q” values for each pixel aresupplied as 16 bit integers• Converted to complex floating point• Radiometric correction of data• The calibration constant (KdB) is suppliedRH 0 (db) - Mumbai14-Jun-13 8
  • 9. 14-Jun-13 9
  • 10. 314-Jun-13 10
  • 11. 3• Select filter type to be applied:• Boxcar Filter• Refined Lee FilterSelect FilterSizeSet the input andoutput directoriesClick Run to apply filter14-Jun-13 11
  • 12. Unfiltered 5x5 Refined Lee FilteredCrop of cFRS-1 mode acquired over Mumbai by RISAT - 114-Jun-13 12
  • 13. m-delta ( ) Decomposition:)1(2sin12sin1000mSfGmSfRmSfBdiffusedevenoddm-chi ( ) Decomposition:)1(22sin122sin1000mSfGmSfRmSfBdiffusedevenoddm-alpha ( ) Decomposition:)1(22cos122cos1000mSfGmSfRmSfBvolumedihedralsurfaceCloude, et al., IEEE GRS Letters, 9(1), Jan 2012Raney et al., JGR, Vol. 117, E00H21, 2012Stokes Parameters: (RH-RV Case, BSA Convention)0232221SSSSm231tan(deg)SS032sinmSSDegree of Polarization: Relative RH-RV Phase:Degree of Circularity:322211tan21(deg)SSSScattering mechanism:Stokes Vector: (RH-RV Case) - BSA221220RVRHSRVRHS*3*222RVRHSRVRHS14-Jun-13 13
  • 14. Decomposition techniques applied to cFRS-1 Image acquired over Mumbai by RISAT-114-Jun-13 14
  • 15. • Ratio of the Same Sense toOpposite Sense echopowers• Indicator of the degreeof wavelength scale surfaceand/or near subsurfaceroughness14-Jun-13 15
  • 16. 11 11 22 1213 11 22 1222 11 22 1231 11 22 1233 11 22 127 2Im62Im67 2ImC J J JC J J j JC J J JC J J j JC J J JCPCPCCCCCC33312213110000Where :Reflection and Rotationsymmetry assumptions22211211*)2/()2/(2/21*JJJJkkJT14-Jun-13 16
  • 17. 14-Jun-13 17
  • 18. Set Input DirectorySet Output DirectoryRun the process14-Jun-13 18
  • 19. Reference: Gunter Schreier(Ed.) SAR Geocoding Data and Systems (Publisher: Wichman)• Nearest Neighbor14-Jun-13 19
  • 20. 14-Jun-13 20
  • 21. Select the file to be geocodedAny floating point bin file is supportedProvide the “infoRH.txt” fileThis is in the directory where the product wasextractedChoose the resampling method Run the processOutput will be automaticallyopened in OpenEVS-Curve Stretching gives goodvisualization14-Jun-13 21
  • 22. Geocoded C11 image of Mumbai, IndiaAcquired by RISAT-1 in cFRS-1 mode15-NOV-2012Scene CenterLongitude:72.930005Latitude :19.22088214-Jun-13 22
  • 23. ALOS L Band – Fully Polarimetric Image is used for this comparison14-Jun-13 23
  • 24. Pauli RGB Freeman 3 component14-Jun-13 24
  • 25. VanZyl 3 component Yamaguchi 3 component14-Jun-13 25
  • 26. Arii ANNED 3 component Arii NNED 3 component14-Jun-13 26
  • 27. Y4O Y4R14-Jun-13 27
  • 28. G4U1 G4U214-Jun-13 28
  • 29. S4R Y4R14-Jun-13 29
  • 30. Classified image of cFRS-1 scene acquired over Mumbai, India.Urban Forest Mangroves Water Wetland14-Jun-13 30
  • 31. Wishart Supervised ClassificationLee Refined Filter – 5x5 windowCo-Register datasetsMultilook to match other imagesImport – C2 matrixALOS-PALSAR RADARSAT-2 TerraSAR-X RISAT-1Sensors Band PolarizationPixelSize (m)RISAT-1 C Hybrid Pol 2.5RADARSAT-2 C Full Pol 8.0ALOS-PALSAR L Full Pol 24.0TerraSAR-X X HH and HV 3.014-Jun-13 31
  • 32. Classifier Wishart ClassifierClassesTerraSAR-Xband Dual Pol.RISAT-1-C bandCompact PolRADARSAT-Cband simulatedCompact PolRADARSAT-Cband Full Pol.ALOS-PALSAR-Lband Full Pol.Water 99.66 81.03 100 100 87.94Mangroves 74.93 88.06 77.49 89.86 91.78Urban 98.17 91.53 97.03 98.63 100Forest 60.26 81.00 77.42 82.19 93.49Saltpan 63.77 68.6 95.89 96.38 85.99Wetland 89.96 89.96 97.77 97.54 73.44Grassland 83.78 90.54 85.59 92.34 90.54Accuracy % 81.84 83.40 89.96 93.40 89.3814-Jun-13 32
  • 33. ALOS-PALSAR RADARSAT-2 TerraSAR-X RADARSAT-2 RISAT-1Full pol Full Pol Dual Pol Simulated Hyb. Hyb.polWater Mangroves Urban Forest Saltpans Wetland Grassland14-Jun-13 33
  • 34. ClassificationSVM WishartDecompositionm-δ m- SPAN CPRCo-Register Datasets5x5 Refined Lee FilterMultilook to match resolution3:3 Multilook 1:1 MultilookImport and Prepare DataRISAT-1 (Hybrid) RADARSAT-2 (Simulated Hyb)Sensors Band PolarizationPixelSize (m)RISAT-1 C Hybrid Pol 2.5RADARSAT-2C Full Pol 8.014-Jun-13 34
  • 35. ClassRISAT-I RADARSAT-2Wishartm-δ,CPR,SPAN(SVM)m-χ,CPR,SPAN(SVM)Wishartm-δ,CPR-SPAN (SVM)m-χ,CPR,SPAN(SVM)Water 78.59 84.32 84.00 99.95 98.91 99.05Mangroves60.60 88.92 88.99 75.25 71.85 70.72Urban 56.74 60.99 63.43 91.73 92.06 92.25Forest 56.15 81.54 81.54 52.87 54.94 56.88Wetland 60.22 84.22 84.78 97.09 97.75 98.26OverallAcc.%64.17 81.53 81.86 81.35 80.68 80.9114-Jun-13 35
  • 36. Classified RISAT-1 image acquired overMumbai in cFRS-1 mode.SVM classifier used on m-decomposed image along with SPANand CPRUrban Forest Mangroves Water Wetland14-Jun-13 36
  • 37. Convert RISAT to Pseudo Full polSignature analysis Backscatter AnalysisWishart ClassificationIntensity ComplexCo-Register Datasets5x5 Refined Lee FilterMultilook to reduce speckle2:2 MultilookImport and Prepare DataRISAT-1 (HybridPol) RADARSAT-2 (Full Pol)Sensors Band PolarizationPixelSize (m)RISAT-1 C Hybrid Pol 2.5RADARSAT-2C Full Pol 8.014-Jun-13 37
  • 38. Variation of H/AlphaMean and Standard Deviation of σ0• Urban features: hybrid σ0 shows higher value with more standard deviation• Urban features can be clearly discriminated• The other features are not discriminable – low dynamic range (within 3dB)• Channel Imbalance observed14-Jun-13 38
  • 39. Linear PolFCC RGBHybrid PolFCC RGBLinearComplexLinearIntensityHybridComplexHybridIntensityUrbanWaterForestMangrovesWetlandField Work14-Jun-13 39
  • 40. Polarization/ClassLinear(HH,HV)IntensityCircular(RH,RV)IntensityLinear(HH, HV)ComplexCircular(RH,RV)ComplexUrban 70.77 85.27 70.68 82.50Forest 73.50 52.95 78.85 87.41Water 95.19 99.45 94.99 99.83Mangroves 80.09 59.78 82.88 91.74Wetland 62.57 91.55 73.11 98.24Accuracy(%)83.48 79.60 86.38 91.7914-Jun-13 40
  • 41. RADARSAT-2 RISAT-1Urban_CopolUrban_Crospol14-Jun-13 41
  • 42. RADARSAT-2 RISAT-1Water_CopolWater_crosspol14-Jun-13 42
  • 43. Saoner Test Site• Scene center:• 21 23′09″N Latitude• 78 55′12″E Longitude• Major Crops:• Paddy• Sugarcane• Wheat• Gram14-Jun-13 43
  • 44. 0%57.5%0%41.4%m-delta m-chi m-alpha14-Jun-13 44
  • 45. ThankYou!14-Jun-13 45