Synthetic Aperture Radar Image Classification: a Survey

Supervised classification for synthetic aperture radar image

This paper deals with the supervised classification of synthetic aperture radar (SAR) images. Our approach is based on two criteria, which explicitly take into account the intensity of the SAR image and the neighborhood classes, similarly to the Pots model, but weighted by a discontinuity map. The high level of noise involves numerous classification errors, then we classify a restored image fil...

Palarimetric Synthetic Aperture Radar Image Classification using Bag of Visual Words Algorithm

Land cover is defined as the physical material of the surface of the earth, including different vegetation covers, bare soil, water surface, various urban areas, etc. Land cover and its changes are very important and influential on the Earth and life of living organisms, especially human beings. Land cover change monitoring is important for protecting the ecosystem, forests, farmland, open spac...

Synthetic Aperture Radar Image Coding

■ Many factors govern the design of image-coding systems, ranging from the sensor type through storage and transmission limitations to the imagery end use. Image-compression performance depends on the costs of storage or transmission bandwidth (in bits per pixel), computational burden (in operations per second), information loss (utility), and artifacts that may change the receiver operating ch...

Literature Survey on Synthetic Aperture Radar (SAR) Image Compression

Synthetic Aperture Radar Image Quality Measurements

......................................................................................................I Acknowledgements.......................................................................................III Table of