Polarimetric Characteristics of Fully Polarization SAR Image Observed by Ground-Based SAR System
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Polarimetric Characteristics of Fully Polarization Polarimetric Characteristics of Fully Polarization SAR Image Observed by Ground-Based SAR System SAR Image Observed by Ground-Based SAR System Moon-Kyung Kang 1* , Kwang-Eun Kim 2 , Hoonyol Lee 3 , Seong-Jun Cho 4 and Jae-Hee Lee 5 1,2,4,5 Korea Institute of Geoscience and Mineral Resources, Daejeon, Republic of Korea, * [email protected] 3,5 Department of Geophysics, Kangwon National University, Suncheon, Republic of Korea INTRODUCTION INTRODUCTION METHODOLOGY METHODOLOGY RESULTS RESULTS CONCLUSIONS CONCLUSIONS REFERENCES REFERENCES ACKNOWLEDGEMENTS ACKNOWLEDGEMENTS Ground-Based SAR (GB-SAR) systems monitoring tools for agriculture, terrain mapping, man-made structures ground surface deformation detection and displacement measurement dams, bridges, and so on using SAR interferometric techniques. SAR Polarimetry Technique for analysis of more detailed physical and biophysical features of various surface target understanding of scattering characteristics about a single or distributed targets. Many researchers have been interested in classification, decomposition, and modelling of polarimetric SAR data in recent literature. The objective behind efforts is better understanding about the scattering mechanism that give rise to the polarimetric characteristics seen in SAR image data. The purpose of this paper This work was focused on application study of the developed GB-SAR system based on SAR polarimetry techniques as a preliminary study. analyzing the dominant scattering properties about different surface targets such as trees, grasses, a human-made structure, and several permanent scatterers using H/A/Alpha polarimetric decomposition algorithms. RESULTS RESULTS GB-SAR System Center frequency 5.3 GHz (C-band) Range bandwidth 600 MHz IF BW 1 KHz Number of point 1601 Power VNA 0 dBm, Amp 33 dBm Azimuth step 5 cm Azimuth length 5 m Polarization HH, HV, VH, VV Image Processing Test site (KIGAM) Used software SAR focusing processing: ‘gbsar’ processor (by Kangwon National University) PolSAR processing: ‘PolSARpro’ open software package (http://envisat.esa.int/polsarpro) The main PolSAR processing H/A/Alpha decomposition and analysis Unsupervised Wishart – H/A/Alpha classification Test site Korea Institute of Geoscience and Mineral Resources (KIGAM) field for operation and performance test of GB-SAR system Five permanent scatterers Measurement Date: 3-5 November, 2008 The dominant colors over grass and trees areas -> pink, white, green, blue white -> equal amplitude over all polarimetric channel green -> a dominant HV component pink-magenta -> VV, HH > HV 5 permanent scatterers white and magenta This research was supported by a grant (07KLSGC03) from Cutting-edge Urban Development - Korean Land Spatialization Research Project funded by Ministry of Land, transport and Maritime Affairs of Korean government. Lee, J.-S. and Pottier, E., 2009. Polarimetric Radar Imaging From Basics to Applications, CRC Press. Lee, H., Cho, S.-J., Sung, N.-H., and Kim, J.-H., 2007a. Development of a GB-SAR (I): System Configuration and Interferometry, Korean Journal of Remote Sensing, 23(4), pp. 237-245. Lee, H., Cho, S.-J., Sung, N.-H., and Kim, J.-H., 2007b. Development of a GB-SAR (II): Focusing Algorithms, Korean Journal of Remote Sensing, 23(4), pp. 247-256. (a) (b) (a) atmosphere temperature variation graph during entire measurement period (b) phase variation graph of HH, HV, VH and VV polarizations at a permanent scatterer (ps_1) (a) and (b) graphs show similar distribution Lexicographic (Sinclair) color coded image (R: VV, G: HV, B: HH) at #_41 Ps_1 Ps_2 Ps_3 Ps_4 Ps_5 Trees Area Grass Area #_7 #_56 #_80 #_130 #_155 An example of Wishat-H/A/Alpha classification (#_41 Alpha parameter Temporal variation: Wishart-H/A/Alpha1 classification Results 0 90 0 1 Entropy (H) parameter The objective of this study has been to assess a geophysical application of fully polarimetric SAR data measured by the GB-SAR system in order to extracting relevant information about surface scattering properties. From the classification results, we can consider that the dominant scattering property of different surface targets such as natural or man-made targets varies depending on target’s material types and their environmental conditions. It is expected that GB-SAR system will be a convenient tool for measurement and analysis of polarimetic properties for various target on the Earth. α-> 0 : a single scattering (rough surface) α -> 45 : volume scattering α -> 90 : double-bounce scattering H=0 : a pure target H=1 : truly a random noise process (a) Wishart-H/Alpha classification (b) Wishart-H/Alpha1 classification (c) Wishart-H/A/Alpha classification(d) Wishart-H/A/Alpha1 classification 1 2 345 6 7 8 1 23 45 6 7 8 1234 567 8 9 10111213141516 1234 567 8 910111213141516 (a) #_7 (a) #_56 (c) #_80 (d) #_130 1234 567 8 9 10111213141516 1234 567 8 910111213141516 1234 567 8 9 10111213141516 1234 567 8 910111213141516
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Polarimetric Characteristics of Fully Polarization SAR Image Observed by Ground-Based SAR System. (a). Moon-Kyung Kang 1* , Kwang-Eun Kim 2 , Hoonyol Lee 3 , Seong-Jun Cho 4 and Jae-Hee Lee 5 - PowerPoint PPT Presentation
Transcript of Polarimetric Characteristics of Fully Polarization SAR Image Observed by Ground-Based SAR System
Polarimetric Characteristics of Fully Polarization SAR Image Polarimetric Characteristics of Fully Polarization SAR Image Observed by Ground-Based SAR SystemObserved by Ground-Based SAR System
Moon-Kyung Kang1*, Kwang-Eun Kim2, Hoonyol Lee3, Seong-Jun Cho4 and Jae-Hee Lee5 1,2,4,5 Korea Institute of Geoscience and Mineral Resources, Daejeon, Republic of Korea, *[email protected]
3,5 Department of Geophysics, Kangwon National University, Suncheon, Republic of Korea
INTRODUCTIONINTRODUCTION
METHODOLOGYMETHODOLOGY
RESULTSRESULTS
CONCLUSIONSCONCLUSIONS
REFERENCESREFERENCES
ACKNOWLEDGEMENTSACKNOWLEDGEMENTS
Ground-Based SAR (GB-SAR) systems monitoring tools for agriculture, terrain mapping, man-made structures ground surface deformation detection and displacement measurement dams, bridges, and so on using SAR interferometric techniques. SAR Polarimetry Technique for analysis of more detailed physical and biophysical features of various surface target understanding of scattering characteristics about a single or distributed targets. Many researchers have been interested in classification, decomposition, and modelling of polarimetric SAR data in recent literature. The objective behind efforts is better understanding about the scattering mechanism that give rise to the polarimetric characteristics seen in SAR image data. The purpose of this paper This work was focused on application study of the developed GB-SAR system based on SAR polarimetry techniques as a preliminary study. analyzing the dominant scattering properties about different surface targets such as trees, grasses, a human-made structure, and several permanent scatterers using H/A/Alpha polarimetric decomposition algorithms.
RESULTSRESULTS
GB-SAR System
Center frequency 5.3 GHz (C-band)Range bandwidth 600 MHzIF BW 1 KHzNumber of point 1601Power VNA 0 dBm, Amp 33 dBmAzimuth step 5 cmAzimuth length 5 mPolarization HH, HV, VH, VV
Image ProcessingTest site (KIGAM)
Used software SAR focusing processing: ‘gbsar’ processor (by Kangwon National University) PolSAR processing: ‘PolSARpro’ open software package (http://envisat.esa.int/polsarpro) The main PolSAR processing H/A/Alpha decomposition and analysis Unsupervised Wishart – H/A/Alpha classification
Test site Korea Institute of Geoscience and Mineral Resources (KIGAM) field for operation and performance test of GB-SAR system Five permanent scatterers Measurement Date: 3-5 November, 2008
The dominant colors over grass and trees areas-> pink, white, green, blue white -> equal amplitude over all polarimetric channel green -> a dominant HV component pink-magenta -> VV, HH > HV 5 permanent scatterers white and magenta
This research was supported by a grant (07KLSGC03) from Cutting-edge Urban Development - Korean Land Spatialization Research Project funded by Ministry of Land, transport and Maritime Affairs of Korean government.
Lee, J.-S. and Pottier, E., 2009. Polarimetric Radar Imaging From Basics to Applications, CRC Press.Lee, H., Cho, S.-J., Sung, N.-H., and Kim, J.-H., 2007a. Development of a GB-SAR (I): System Configuration and Interferometry, Korean Journal of Remote Sensing, 23(4), pp. 237-245.Lee, H., Cho, S.-J., Sung, N.-H., and Kim, J.-H., 2007b. Development of a GB-SAR (II): Focusing Algorithms, Korean Journal of Remote Sensing, 23(4), pp. 247-256.
(a)
(b)
(a) atmosphere temperature variation graph during entire measurement period (b) phase variation graph of HH, HV, VH and VV polarizations at a permanent scatterer (ps_1) (a) and (b) graphs show similar distribution
Lexicographic (Sinclair) color coded image (R: VV, G: HV, B: HH) at #_41
Ps_1 Ps_2 Ps_3Ps_4
Ps_5Trees Area
Grass Area
#_7
#_56
#_80
#_130
#_155
An example of Wishat-H/A/Alpha classification (#_41)
Alpha parameter
Temporal variation: Wishart-H/A/Alpha1 classification Results
0 90 0 1
Entropy (H) parameter
The objective of this study has been to assess a geophysical application of fully polarimetric SAR data measured by the GB-SAR system in order to extracting relevant information about surface scattering properties. From the classification results, we can consider that the dominant scattering property of different surface targets such as natural or man-made targets varies depending on target’s material types and their environmental conditions. It is expected that GB-SAR system will be a convenient tool for measurement and analysis of polarimetic properties for various target on the Earth.
α-> 0 : a single scattering (rough surface)
α -> 45 : volume scatteringα -> 90 : double-bounce scattering
H=0 : a pure targetH=1 : truly a random noise process
(a) Wishart-H/Alpha classification (b) Wishart-H/Alpha1 classification
(c) Wishart-H/A/Alpha classification (d) Wishart-H/A/Alpha1 classification
1 2 3 4 5 6 7 8 1 2 3 4 5 6 7 8
1 2 3 4 5 6 7 8 910111213141516 1 2 3 4 5 6 7 8 910111213141516
(a) #_7 (a) #_56
(c) #_80 (d) #_130
1 2 3 4 5 6 7 8 910111213141516
1 2 3 4 5 6 7 8 910111213141516
1 2 3 4 5 6 7 8 910111213141516
1 2 3 4 5 6 7 8 910111213141516
