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Polarimetric Characteristics of Fully Polarization SAR Image Observed by Ground-Based SAR System

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

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Polarimetric Characteristics of Fully Polarization SAR Image Observed by Ground-Based SAR System

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  1. Polarimetric Characteristics of Fully Polarization SAR Image Observed by Ground-Based SAR System (a) 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, *kangmk@kigam.re.kr 3,5 Department of Geophysics, Kangwon National University, Suncheon, Republic of Korea (b) • INTRODUCTION • RESULTS • Alpha parameter • Entropy (H) parameter • 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. 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 0 0 90 1 • An example of Wishat-H/A/Alpha classification (#_41) • METHODOLOGY • GB-SAR System 1 2 3 4 5 6 7 8 2 3 4 5 6 7 8 1 • 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 (a) Wishart-H/Alpha classification (b) Wishart-H/Alpha1 classification 1 1 2 3 4 5 6 7 8 10 11 12 13 14 15 16 2 3 4 5 6 7 8 10 11 12 13 14 15 16 9 9 (c) Wishart-H/A/Alpha classification (d) Wishart-H/A/Alpha1 classification • Temporal variation: Wishart-H/A/Alpha1 classification Results Test site (KIGAM) • Image Processing 1 1 2 3 4 5 6 7 8 10 11 12 13 14 15 16 2 3 4 5 6 7 8 10 11 12 13 14 15 16 9 9 • 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 (a) #_7 (a) #_56 • RESULTS 1 1 2 3 4 5 6 7 8 10 11 12 13 14 15 16 2 3 4 5 6 7 8 10 11 12 13 14 15 16 9 9 • 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 (c) #_80 (d) #_130 • CONCLUSIONS Ps_4 Ps_3 • 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. Ps_2 Trees Area Ps_1 Ps_5 Grass Area Lexicographic(Sinclair) color coded image (R: VV, G: HV, B: HH) at #_41 • ACKNOWLEDGEMENTS • (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 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. • REFERENCES #_155 #_7 #_80 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. #_130 #_56

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