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Remote-sensing images --- Earth sciences --- Remote sensing --- Earth (Planet) --- Observations --- Images, Remote-sensing --- Satellite images --- Side-looking airborne radar images --- SLAR (Side-looking airborne radar) --- Cartographic materials --- Earth

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Remote-sensing images. --- Image processing --- Digital techniques. --- Digital image processing --- Digital electronics --- Images, Remote-sensing --- Satellite images --- Side-looking airborne radar images --- SLAR (Side-looking airborne radar) --- Cartographic materials

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Thanks to recent advances in sensors, communication and satellite technology, data storage, processing and networking capabilities, satellite image acquisition and mining are now on the rise. In turn, satellite images play a vital role in providing essential geographical information. Highly accurate automatic classification and decision support systems can facilitate the efforts of data analysts, reduce human error, and allow the rapid and rigorous analysis of land use and land cover information. Integrating Machine Learning (ML) technology with the human visual psychometric can help meet geologists’ demands for more efficient and higher-quality classification in real time. This book introduces readers to key concepts, methods and models for satellite image analysis; highlights state-of-the-art classification and clustering techniques; discusses recent developments and remaining challenges; and addresses various applications, making it a valuable asset for engineers, data analysts and researchers in the fields of geographic information systems and remote sensing engineering.

Telecommunication. --- Computer vision. --- Signal, Image and Speech Processing. --- Communications Engineering, Networks. --- Image Processing and Computer Vision. --- Remote-sensing images. --- Images, Remote-sensing --- Satellite images --- Side-looking airborne radar images --- SLAR (Side-looking airborne radar) --- Cartographic materials --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting

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Multisensor data fusion --- Image processing --- Remote-sensing images. --- Fusion multicapteurs --- Traitement d'images --- Images-satellite --- Remote-sensing images --- Images, Remote-sensing --- Satellite images --- Side-looking airborne radar images --- SLAR (Side-looking airborne radar) --- Cartographic materials --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Data fusion --- Multi-sensor fusion --- Sensor fusion --- Signal processing --- Sensor networks

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This thesis transforms satellite precipitation estimation through the integration of a multi-sensor, multi-channel approach to current precipitation estimation algorithms, and provides more accurate readings of precipitation data from space.  Using satellite data to estimate precipitation from space overcomes the limitation of ground-based observations in terms of availability over remote areas and oceans as well as spatial coverage. However, the accuracy of satellite-based estimates still need to be improved.  The approach introduced in this thesis takes advantage of the recent NASA satellites in observing clouds and precipitation. In addition, machine-learning techniques are also employed to make the best use of remotely-sensed "big data." The results provide a significant improvement in detecting non-precipitating areas and reducing false identification of precipitation.

Earth Sciences. --- Atmospheric Sciences. --- Geophysics and Environmental Physics. --- Meteorology. --- Environmental Physics. --- Geography. --- Physical geography. --- Géographie --- Géographie physique --- Infrared detectors. --- Precipitation (Meteorology) -- Remote sensing. --- Earth & Environmental Sciences --- Meteorology & Climatology --- Clouds. --- Remote-sensing images. --- Images, Remote-sensing --- Multispectral scanning images --- Satellite images --- Side-looking airborne radar images --- SLAR (Side-looking airborne radar) --- Aerology --- Earth sciences. --- Atmospheric sciences. --- Geophysics. --- Environmental sciences. --- Earth sciences --- Atmosphere --- Cartographic materials --- Meteorology --- Atmospheric science --- Geography --- Environmental science --- Science --- Geological physics --- Terrestrial physics --- Physics --- Atmospheric sciences