Deep Learning for Hyperspectral Image Analysis and Classification 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 Deep Learning for Hyperspectral Image Analysis and Classification PDF full book. Access full book title Deep Learning for Hyperspectral Image Analysis and Classification by Linmi Tao. Download full books in PDF and EPUB format.

Deep Learning for Hyperspectral Image Analysis and Classification

Deep Learning for Hyperspectral Image Analysis and Classification PDF Author: Linmi Tao
Publisher: Springer Nature
ISBN: 9813344202
Category : Computers
Languages : en
Pages : 207

Book Description
This book focuses on deep learning-based methods for hyperspectral image (HSI) analysis. Unsupervised spectral-spatial adaptive band-noise factor-based formulation is devised for HSI noise detection and band categorization. The method to characterize the bands along with the noise estimation of HSIs will benefit subsequent remote sensing techniques significantly. This book develops on two fronts: On the one hand, it is aimed at domain professionals who want to have an updated overview of how hyperspectral acquisition techniques can combine with deep learning architectures to solve specific tasks in different application fields. On the other hand, the authors want to target the machine learning and computer vision experts by giving them a picture of how deep learning technologies are applied to hyperspectral data from a multidisciplinary perspective. The presence of these two viewpoints and the inclusion of application fields of remote sensing by deep learning are the original contributions of this review, which also highlights some potentialities and critical issues related to the observed development trends.
➤