In general only a small part of spatial data in SDI change because of different factors, so rapid and effective updating methods are very vital. With the improvement of spatial resolution of satellite remote sensing (RS) imagery, it is possible to update spatial data infrastructure efficiently by satellite RS images. But the RS data volume is vast, so high processing capacity is required. It is...

The Images obtained through remote sensing systems are not often sufficient for high precision applications due to various distortions. The distortions can be due to errors like geometric errors, etc. Also multi-date satellite images of the same area under different conditions are difficult to compare because of change in atmospheric propagation, sensor response and illuminations. Keeping these...

GEO Satellite imagery is an important tool and can be used to estimate rainfall during the thunderstorms and hurricanes for flash flood warnings in real time. However, for the GEO satellite is located higher than normal LEO satellite, the spatial resolution images are lower. Therefore, in order to obtain an image with enough resolution, some methods are to be implemented in GEO satellite observ...

Image enhancement is very important in the field where visual appearance of an image is the main. Image enhancement is the process of improving the image in such a way that the resulting or output image is more suitable than the original image for specific task. With the help of image enhancement process the quality of image can be improved to get good quality images so that they can be clear f...

Many researchers conducted the effort for improving the classification accuracy of satellite image. Most of the study has used optical spectrum information of each pixel for image classification. By applying this method for high resolution satellite image, number of class becomes increase. This situation is remarkable for urban area. Most of the case, we need the information about land use. In ...

This paper investigates synergy effects between satellite images and a digital topographic database. The use of such topographic databases, which are actually built up in many countries (e.g. ATKISDLM200 data in Germany), can support the satellite image analysis. This digital database offers a geometric as well as a semantic prediction for every object in the satellite image. Therefore, an auto...

The main objective of this work is to design an automatic image processing tool for lineament mapping from LANDSAT-TM satellite data. In doing so, three procedures are involved: (i) image enhancement using histogram equalization technique; (ii) automatic lineament detection using Canny algorithm; and (iii) three-dimensional (3D) lineament visualization using SRTM data. The study shows that Cann...

The increase in spatial resolution has enabled analysis and detection of images obtained through satellite. To increase the accuracy in image processing, an unwanted shadow needs to be processed effectively. A quality check mechanism governs the false reconstruction problems. In the proposed paper we would like to suggest use of Lib SVM algorithm. The original image obtained from satellite is f...