Electromagnetic scattering : a remote sending perspective Remote sensing is a fast growing field with many important applications as demonstrated in the numerous scientific missions of the Earth Observation System (EOS) worldwide. Given the inter disciplinary nature of remote sensing technologies the fulfillment of these scientific goals calls for among other things a fundamental understanding of the complex interaction between electromagnetic waves and the targets of interest. Using a systematic treatment Electromagnetic Scattering: A Remote Sensing Perspective presents some of the recently advanced methods in electromagnetic scattering as well as updates on the current progress on several important aspects of such an interaction. The book covers topics including scattering from random rough surfaces of both terranean and oceanic natures scattering from typical man made targets or important canonical constituents of natural scenes such as a dielectric finite cylinder or dielectric thin disk the characterization of a natural scene as a whole represented as a random medium and the extraction of target features with a polarimetric radar Modeling of bistatic scattering from rough surfaces: an advanced integral equation model Kun Shan Chen Investigation on the composite scattering and doppler spectra of a moving ship at time evolving sea surface Min Zhang Ye Zhao and Jin Xing Li Study on scattering problems about rough surfaces with FEM BIM Lixin Guo and Runwen Xu Volume integral equation solvers for electromagnetic scattering by penetrable objects Mei Song Tong Numerical modeling of scattering by multiple bodies of revolution Jun Hu Yu Ke Li Xi Rui and Qinghuo Liu Analytical formulations of scattering by finite circular cylinder and thin dielectric circular disk Il Suek Koh VPM: an extended T matrix method for the analysis of scattering from dielectric cylinders with finite length Yang Du Wenzhe Yan Chao Yang and J.C. Shi Electromagnetic wave scattering in dense media: applications in the remote sensing of sea ice and vegetation Jun Yi Koay Yu Jen Lee Hong Tat Ewe and Hean Teik Chuah Target feature extraction with polarimetric radar Junjun Yin and Jian Yang