Noise Reduction of High-Resolution SAR Image over Vegetation and Urban Areas
Author(s) -
Vikash Kumar,
Neelesh Gupta,
Neetu Sharma
Publication year - 2016
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2016911270
Subject(s) - computer science , vegetation (pathology) , reduction (mathematics) , noise reduction , noise (video) , high resolution , remote sensing , resolution (logic) , image (mathematics) , computer vision , artificial intelligence , geology , mathematics , medicine , geometry , pathology
aperture radar (SAR) has been commonly used in many civilian and military application, and the SAR with moving targets indication is a very hot topic in recent years. As a lot of literatures discussed, if the returns from moving target are method in the same way as the motionless returns, the moving object will appear as an azimuth shift due to range motion and the image of the target will be messy in the azimuth direction due to azimuth motion .The high resolution interferograms above vegetation or urban area are varied, which will break the local stationary theory and make it difficult to get a large number of independent and identically distributed samples for interferometric noise suppression.
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