Image segmentation plays an important role in human vision, computer vision, and pattern recognition fields. Segmentation based on texture can improve the accuracy of interpretation. Satellite images are used in order to detect the distribution of classes such as soil, vegetation, built-up areas, roads, rivers, lakes etc. A problem that arises when segmenting an image is that the number of feat...

Digital image processing is collection of techniques for the manipulation of digital images by computer and its applications. This collection of methods in remote sensing is dominantly treated as Satellite Digital Image Processing (SDIP). A spaceborne Multispectral Image Processing System (MIPS) has been used since 1960 as a traditional satellite image processing system for data analysis and ex...

In last the decade we witnessed a large increase in data generated by earth observing satellites. Hence, intelligent processing of the huge amount of data received by hundreds of earth receiving stations, with specific satellite image oriented approaches, presents itself as a pressing need. One of the most important steps in earlier stages of satellite image processing is cloud detection. Satel...

The orthorectification of satellite images is a foundational process in satellite applications. With the improvement of the satellite imaging technology and the orthorectification calculation models, the collection of Ground Control Point (GCP) is becoming the key factor restricting the efficiency and precision of orthorectification. At the same time, the services based on web in the geographic...

ABSTRACT: Due to the development of spatial resolution, spectral resolution and multi-image tasking of high-resolution satellite images, the generation of digital surface model (DSM) from high-resolution satellite images becomes an important and practical application. Nowadays, different image matching approaches such as global matching and semi-global matching has been developed to obtain dens...

Biogeography is the study of the geographical distribution of biological organisms. The mindset of the engineer is that we can learn from nature. Biogeography Based Optimization is a burgeoning nature inspired technique to find the optimal solution of the problem. Satellite image classification is an important task because it is the only way we can know about the land cover map of inaccessible ...

Remote sensing image processing is both data and computing intensive. Grid technologies currently provides powerful tools for remote sensing data sharing and processing. After an overview of the recent initiatives of gridifying satellite image processing, two specific usage scenarios are analyzed. The solution that is proposed is based on freely distributed and general-purpose software: latest ...

In recent years, the use of remote sensed satellite images applications has increased rapidly. Remote sensing applications include monitoring deforestation in areas such as the Amazon Basin, glacial features in Arctic and Antarctic regions, and depth sounding of coastal and ocean depths.Image segmentation is used for analyzing function in imageProcessingand analysis.Image segmentation technique...

We propose a method for accurately localizing ground vehicles with the aid of satellite imagery. Our approach takes a ground image as input, and outputs the location from which it was taken on a georeferenced satellite image. We perform visual localization by estimating the co-occurrence probabilities between the ground and satellite images based on a ground-satellite feature dictionary. The me...

Image registration is a key operation to spatially align two or more images for comparing the difference between them or exploiting complementary information from those images. The main objective regarding automatic registration of satellite images is to obtain an accurate set of tie points and then apply the transformation function which is most suitable to the pair of images to be registered....