Polarimetric Radar Imaging From Basics to Applications
The recent launches of three fully polarimetric synthetic aperture radar (PolSAR) satellites have shown that polarimetric radar imaging can provide abundant data on the Earth?s environment, such as biomass and forest height estimation, snow cover mapping, glacier monitoring, and damage assessment. Written by two of the most recognized leaders in this field, Polarimetric Radar Imaging: From Basics to Applicationspresents polarimetric radar imaging and processing techniques and shows how to develop remote sensing applications using PolSAR imaging radar.
The book provides a substantial and balanced introduction to the basic theory and advanced concepts of polarimetric scattering mechanisms, speckle statistics and speckle filtering, polarimetric information analysis and extraction techniques, and applications typical to radar polarimetric remote sensing. It explains the importance of wave polarization theory and the speckle phenomenon in the information retrieval problem of microwave imaging and inverse scattering. The authors demonstrate how to devise intelligent information extraction algorithms for remote sensing applications. They also describe more advanced polarimetric analysis techniques for polarimetric target decompositions, polarization orientation effects, polarimetric scattering modeling, speckle filtering, terrain and forest classification, manmade target analysis, and PolSAR interferometry.
With sample PolSAR data sets and software available for download, this self-contained, hands-on book encourages you to analyze space-borne and airborne PolSAR and polarimetric interferometric SAR (Pol-InSAR) data and then develop applications using this data.
Overview of Imaging Radar Polarimetry. Electromagnetic Vector Wave and Polarization Descriptors. Electromagnetic Vector Scattering Operators. PolSAR Speckle Statistics. PolSAR Speckle Filtering. Introduction to the Polarimetric Target Decomposition Concept. The H/A/a Polarimetric Decomposition Theorem. PolSAR Terrain and Land-Use Classification. Pol-InSAR Forest Mapping and Classification. Selected PolSAR Applications. Appendices. Index.
Date de parution : 02-2009
Ouvrage de 398 p.
15.6x23.4 cm
Thème de Polarimetric Radar Imaging :
Mots-clés :
Complex Wishart Distribution; Pottier; JPL AIRSAR; Cloude; Polarimetric SAR Image; Wishart; Polarimetric SAR; Pol-InSAR; SAR Image; Polarimetric SAR Interferometry; Polarimetric SAR Data; PolSAR Applications; Boxcar Filter; Landuse Classification; PolSAR Data; PolSAR Terrain; Single Polarization SAR; Model-Based Decomposition; Wishart Classifier; Polarimetric Scattering Model; Multilook Processing; H/A/Alpha Decomposition; Db; Incoherent Target Decomposition; Double Bounce Scattering; Coherent Target Decomposition; Jones Vector; Polarimetric Decomposition; Stokes Vector; Speckle Filtering; Multiplicative Noise Model; Speckle Statistic; Triple Bounce; PolSAR; SAR Data; Polarimetric Scattering; MMSE Filter; Electromagnetic Polarimetric Scattering Operator; Amplitude SAR Image; Polarization Descriptor; Polarimetric Entropy; Electromagnetic Wave Descriptor; PolSAR Image; Eric Pottier; Forest Height Estimation; Polarimetric Radar Imaging