Deep Learning for Hyperspectral Image Analysis and Classification Linmi Tao – Ebook Instant Download/Delivery ISBN(s): 9789813344198,9813344199, 9789813344204, 9813344202
Product details:
- ISBN 10: 9813344202
- ISBN 13: 9789813344204
- Author: Linmi Tao
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 theoriginal contributions of this review, which also highlights some potentialities and critical issues related to the observed development trends.
Table contents:
1. Introduction
2. Hyperspectral Image and Classification Approaches
3. Unsupervised Hyperspectral Image Noise Reduction and Band Categorization
4. Hyperspectral Image Spatial Feature Extraction via Segmentation
5. Integrating Spectral-Spatial Information for Deep Learning Based HSI Classification
6. Multi-Deep Net Based Hyperspectral Image Classification
7. Sparse-Based Hyperspectral Data Classification
8. Challenges and Future Prospects
People also search:
modern trends in hyperspectral image analysis a review
techniques and applications of hyperspectral image analysis
spectral information divergence for hyperspectral image analysis
matlab code for hyperspectral image analysis
deep learning for hyperspectral image analysis and classification