A Novel Approach of SAR Image Processing based on Hue, Saturation and Brightness (HSB)

Abstract

Processing of SAR data is required to extract relevant features, such as objects or buildings. Detection of such objects is based on the detection of locally bright pixels, followed by clustering of neighborhoods of pixels. Synthetic Aperture Radar (SAR) is used to obtain high-resolution images from broad areas of terrain. SAR is capable of operating under inclement weather conditions, day or night. In this paper we picked up the aspects of color in the red, green and blue (RGB) scheme from SAR image. These terms are most often used in reference to the color of each pixel in pixel-raped graph. All possible colors can be specified according to hue, just as colors can be represented in terms of the R, G, and B components.