salinization and alkalization are the most problem in the arid and semi-arid regions, where precipitation is low than evapotranspiration. under such a climatic condition, soluble salts are accumulated in the soil, which cause lessening of the soil productivity and fertility. so, the identification of the salt affected areas is essential for sustainable soil management. the specific objective of...

This paper describes an investigation of the source geospatial error in digital surface models (DSMs) constructed from multiple satellite images. In this study uncertainty geometry is separated into two spatial components; global that affects absolute position surface, and local varies point to point. The component caused by inaccuracy imaging process, mainly due orientation (pose) during image...

Many conventional contrast enhancement techniques adopt a global approach to enhance the image. However, it is usually difficult to enhance all land cover classes appearing in the satellite image using these approaches, because local contrast information and details may be lost in the dark and bright areas. In this study, a three-stage algorithm based on fuzzy set theory is proposed to deal wit...

Satellite Image segmentation has a most important role to play in the field of remote sensing imaging, for effectively detecting the Surface of the Earth. However more satellite image segmentation techniques are available. This paper work presents an image segmentation based on color feature with unsupervised FCM Algorithm, which yields better results. The entire work is divided into two stages...

The processing of satellite images can be a demanding task in terms of computer power. Most user workstations are common ones, with no special hardware or license for a commercial image processing tool. Web Services are applications that are made available from a business’s Web server for remotely situated web clients. They can be a suitable solution to the satellite image processing domain, by...