Super-Resolution for Remote Sensing Applications Using Deep Learning Techniques PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Super-Resolution for Remote Sensing Applications Using Deep Learning Techniques PDF full book. Access full book title Super-Resolution for Remote Sensing Applications Using Deep Learning Techniques by G. Rohith. Download full books in PDF and EPUB format.

Super-Resolution for Remote Sensing Applications Using Deep Learning Techniques

Super-Resolution for Remote Sensing Applications Using Deep Learning Techniques PDF Author: G. Rohith
Publisher: Cambridge Scholars Publishing
ISBN: 1527591352
Category : Computers
Languages : en
Pages : 226

Get Book Here

Book Description
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.