Super Resolution for Remote Sensing Applications Using Deep Learning Techniques is popular PDF and ePub book, written by G. Rohith in 2022-12-14, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Super Resolution for Remote Sensing Applications Using Deep Learning Techniques can be Read Online from any device for your convenience.
Super Resolution for Remote Sensing Applications Using Deep Learning Techniques Book PDF Summary
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.
Detail Book of Super Resolution for Remote Sensing Applications Using Deep Learning Techniques PDF
- Author : G. Rohith
- Release : 14 December 2022
- Publisher : Cambridge Scholars Publishing
- ISBN : 9781527591356
- Genre : Computers
- Total Page : 226 pages
- Language : English
- PDF File Size : 16,7 Mb
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