Polarimetric Scattering Modeling and Information Retrieval of Sar Remote Sensing --- A Review of Fdu Work

Abstract

Abstract-Synthetic aperture radar (SAR) imagery technology is one of most important advances in space-borne microwave remote sensing during recent decades. Completely polarimetric scattering from complex terrain surfaces can be measured. Polarimetric SAR (POLSAR), and its relevant technologies, such as POL-interferometric SAR (POLINSAR), bistatic SAR (POL-BISAR), high resolution (in m and dm resolution) SAR, inverse SAR (ISAR) etc., have been providing rich all-weather, all-time and high-resolution data and images of active miscrowave remote sensing. Fully understanding and retrieving information from polarimetric scattering signatures of natural media and SAR images have become a key issue for the SAR remote sensing and its broad applications. Many researches on polarimetric scattering and SAR imagery technology have been carried out (e.g., [1][2][3][4][5][6]). This paper presents a review of the research works in Fudan University (FDU) during recent years on theoretical modeling of the terrain surface for polarimetric scattering simulation and Mueller matrix solution, mono-static and bistatic SAR image simulation, new parameters for unsupervised surface classification, DEM inversion, change detection from multi-temporal SAR images, and reconstructions of buildings from multi-aspect SAR images, etc. . Some applications are briefly reported.Corresponding author: Y.-Q. Jin (yqjin@fudan.ac.cn).

Data-Driven Polinsar Unsupervised Classification Based on Adaptive Model-Based Decomposition and Shannon Entropy Characterization

“…Among the unsupervised classification algorithms in the literature for PolSAR data, earlier approaches mainly utilized the statistical characteristics of the data [1][2][3][4]. For covariance or coherency matrices of multi-look data, Lee et al [2] derived a distance measure based on the complex Wishart distribution [5] and this distance measure has been incorporated in other classification algorithms.…”

Efficient Strip-Mode Sar Raw Data Simulator of Extended Scenes Included Moving Targets

“…The ground moving targets indication (GMTI) is one of the most important applications for synthetic aperture radar [7][8][9][10], and the performance of the GMTI system can be analyzed and evaluated by modeling the whole system through simulation method. SAR raw data generator is essential for designing the new sensor, testing the imaging algorithm and devising inversion algorithm, so the raw data simulator is a hot issue in the research of SAR [11][12][13][14][15][16][17][18][19][20][21]. However, only static targets are taken into account in existing simulators while the moving targets are rarely discussed.…”

An Extended Inverse Chirp-Z Transform Algorithm to Process High Squint Sar Data

“…If the illuminated scene has a wide swath, e.g., in spaceborne configurations, it has to be divided into several sub-swaths, which further decreases the efficiency. Nonlinear Chirp Scaling Algorithm (NCSA) can also deal with squint signal [1,[13][14][15][16], however, NCSA is developed based on Chirp Scaling Algorithm (CSA), thus requires that the received echo signal must be in chirp modulation. But in some situations the received signal does not hold the chirp modulation, such as when dechirp-on-receive operation is applied in spotlight SAR [17] or Frequency Modulated Continous Wave (FMCW) SAR mode [18], NCSA will be completely disabled.…”