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E-raamat: Super-Resolution for Remote Sensing Applications Using Deep Learning Techniques

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  • Formaat: 226 pages
  • Ilmumisaeg: 14-Dec-2022
  • Kirjastus: Cambridge Scholars Publishing
  • ISBN-13: 9781527591356
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Super-Resolution for Remote Sensing Applications Using Deep Learning TechniquesSuurem pilt
  • Formaat: 226 pages
  • Ilmumisaeg: 14-Dec-2022
  • Kirjastus: Cambridge Scholars Publishing
  • ISBN-13: 9781527591356
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Satellite image processing is crucial in detecting vegetation, clouds, and other atmospheric applications. Due to sensor limitations and pre-processing, remotely sensed satellite images may have interpretability concerns as to specific portions of the image, making it hard to recognise patterns or objects and posing the risk of losing minute details in the image. Existing imaging processors and optical components are expensive to counterfeit, have interpretability issues, and are not necessarily viable in real applications. This book exploits the usage of deep learning (DL) components in feature extraction to boost the minute details of images and their classification implications to tackle such problems. It shows the importance of super-resolution in improving the spatial details of images and aiding digital aerial photography in pan-sharpening, detecting signatures correctly, and making precise decisions with decision-making tools.
Dr G. Rohith is an Assistant Professor in the School of Electronics Engineering of Vellore Institute of Technology, Chennai Campus, India. His areas of interest include machine learning, deep learning, satellite image processing, and communication, and he is the author of seven publications.Dr G. Lakshmi Sutha is an Associate Professor in the Department of Electronics and Communication Engineering of the National Institute of Technology (NIT) Puducherry, India. Her research interests include remote sensing, climate and weather, digital image processing, audio processing, pattern recognition, and machine learning, and she is the author of over 60 publications.
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