Digital Processing of Meteorological Satellite (NOAA) Images

Entropy Estimation and Multiscale Processing in Meteorological Satellite Images

A new model for the multiscale characterization of turbulence and chaotic information in digital images is presented. The model is applied to infrared satellite images for the determination of specific areas inside the clouds. These images are difficult to manipulate however due to their intrinsically chaotic character, consequence of the extreme turbulent regime of the atmospheric flow. In thi...

Digital Watermarking Of Satellite Images

A novel watermarking algorithm is proposed for copyrighting of satellite images based on a table look-up method in pixel domain which does not distort certain specific regions in the original image. A visually meaningful watermark is embedded invisibly and irreversibly in the host image, preserving the vital areas. This watermark is embedded in such a way that it can be easily extracted on the ...

3d Processing of High-resolution Satellite Images

High-resolution satellite images at sub-5m footprint are becoming increasingly available to the earth observation community and their respective clients. The related cameras are all using linear array CCD technology for image sensing. The possibility and need for accurate 3D object reconstruction requires a sophisticated camera model, being able to deal with such sensor geometry. We have recent...

Multi Resolution Fuzzy Segmentation of Satellite Images

Processing of Satellite Image Using Digital Image Processing

Pictures are the most effective means of conveying information. A picture is worth a thousand words. Pictures concisely convey information about positions, sizes and interrelationships between objects. Human beings are good at deriving information from such images, because of our innate visual and mental abilities. About 75% of the information received by human is in pictorial form. The paper d...