Image Segmentation Techniques for Remote Sensing Satellite Images

Review of Remote Sensing Image Segmentation Techniques

Image segmentation is an important tool in image processing and can serve as an efficient front end to sophisticated algorithms and thereby simplify subsequent processing. Image segmentation by region merging follows a particular order in the choice of regions. The target of segmentation is always to simplify and/or change the representation of a graphic into something that is more meaningful a...

A Review on Image Segmentation Techniques with Remote Sensing Perspective

With the growing research on image segmentation, it has become important to categorise the research outcomes and provide readers with an overview of the existing segmentation techniques in each category. In this paper, different image segmentation techniques applied on optical remote sensing images are reviewed. The selection of papers include sources from image processing journals, conferences...

Multi Resolution Fuzzy Segmentation of Satellite Images

Automated Techniques for Satellite Image Segmentation

In this paper a combined method between “classical” and automatic approach for remote sensing image analysis is presented. Typically, satellite images are used in order to detect the distribution of vegetation, soil classes, built-up areas, roads, and water body as rivers, brooks, lakes, ecc. Referring for example to Landsat-TM images, the identification of such aspects is performed through the...

Remote Sensing Satellite Image Processing Techniques for Image Classification: A Comprehensive Survey

This paper is a brief survey of advance technological aspects of Digital Image Processing which are applied to remote sensing images obtained from various satellite sensors. In remote sensing, the image processing techniques can be categories in to four main processing stages: Image pre-processing, Enhancement, Transformation and Classification. Image pre-processing is the initial processing wh...