A STATISTICAL TEXTURE FEATURE FOR BUILDING COLLAPSE INFORMATION EXTRACTION OF SAR IMAGE

Statistical Feature Selection for Image Texture Analysis

Texture is one of the visual features used in Content Based Image Retrieval (CBIR) to represent the contents of the image with respect to the characteristics brightness, color, shape, size, etc. Texture is a property that represents spatial distribution of an Image. Texture can be defined as a repetition of an element or pattern in a problem space. Texture analysis can be used for classificatio...

Fusion of polarimetric and texture information for urban building extraction from fully polarimetric SAR imagery

Building extraction from remote sensing images is very important in many fields, such as urban planning, land use investigation, damage assessment, and so on. In polarimetric synthetic aperture radar (PolSAR) imagery, the buildings not only have typical polarimetric features but also have rich texture features. In this paper, the texture information is introduced to improve the accuracy of urba...

A Statistical Feature Adaptive SVM Model For SAR Image Classification

SAR images are the satellite captured images which are having various associated applications to perform the region classification or the identification of some event or activity on some part of earth. As the images are captured from distances and through satellite, because of this these images are of larger size with high resolution. In this present work, A more dynamic, adaptive and feature s...

Analysis of Image Segmentation Techniques for Texture Feature Extraction

The pixels of an image are grouped into several regions for segmentation. In segmentation technique the texture feature parameter is an image analysis technique in the field of Computer vision. In the Segmentation field, there are many techniques are used to segment the images .The proposed approach is to analyze and compare the gray level texture feature techniques, number of clusters, Fuzzy C...

Polarimetric SAR Image Segmentation Using Texture Partitioning and Statistical Analysis