Vector data structure produces smaller file size than raster image because a raster image needs space for all pixels while only point coordinates are stored in vector representation. Raster-to-vector conversion, i.e. vectorization, has key functionalities in Geographic Information Systems (GIS). This study presents a technique converting raster satellite island images into vector data as polygo...

There are many ways to encode, represent, and compress satellite images. Today, with the huge technological advance, algorithms are used to perform many calculations to compress and decompress a satellite image. The future of the compression can take place only through mathematical algorithms, and the progress of mathematical research undoubtedly will lead to an advance in image and file compre...

In recent years, the accelerated growth in the field of computer vision, image fusion, medical imaging, military automatic target recognition, remote cartography and astrophotography has established the need for the development of good image registration technique for the efficient retrieval of interest point area. Image registration is the process of geometrically aligning one image to another...

Satellite image is used in many applications such as geosciences studies, astronomy and geographical information systems. The most important quality factors in images come from its resolution. The satellite image enhancement technique using Discrete Wavelet Transform and Singular Value Decomposition. This Techniques decomposes the input image into four frequency sub band by using Discrete Wavel...

In this paper satellite image resolution and brightness enhancement technique based on the Gabor wavelet transform has been proposed. Satellite images are used in many applications such as geosciences studies, astronomy, and geographical information systems. The input image is enhanced first using Colour Space Transform and then a filter consisting of Gabor wavelets is used to extract texture f...

There are many ways to encode, represent, and compress satellite images. Today, with the huge technological advance, algorithms are used to perform many calculations to compress and decompress a satellite image. The future of the compression can take place only through mathematical algorithms, and the progress of mathematical research undoubtedly will lead to an advance in image and file compre...

––Satellite image compression is one of active image processing areas. In this paper we proposed a novel approach for ROI compression of multiband satellite images using modified JPEG standard. In this paper, we show how the quantization may be adapted in each block and how we may signal to the decoder in a memory-efficient manner. This allows ROI coding of satellite images. The method takes ad...

Spatial, Temporal, and Spectral Resolution (STSR) are three key characteristics of Earth observation satellite sensors; however, any single satellite sensor cannot provide Earth observations with high STSR simultaneously because of the hardware technology limitations of satellite sensors. On the other hand, a conflicting circumstance is that the demand for high STSR has been growing with the re...

This paper investigates the positioning accuracy of image pairs achieved by integrating images from multiple satellites. High-resolution satellite images from IKONOS, QuickBird, and KOMPSAT-2 for Daejeon, Korea were combined to produce pairs of stereo images. From single-satellite stereo pairs to multiple-satellite image pairs, all available combinations were analyzed via a rational function mo...