Learning to Understand Remote Sensing Images: Volume 2

English | PDF | 2019 | 378 Pages | ISBN : N/A | 14.32 MB


English | PDF | 2019 | 378 Pages | ISBN : N/A | 14.32 MB
Accurate and efficient understanding of remote sensing data is an increasingly important issue which can make significant contributions to global environmental analysis and economic development. In this book, we introduce the challenges and advanced techniques in the field of remote sensing image understanding. This area has attracted a lot of research interest, and significant progress has been made during the past years, particularly in the optical, hyperspectral, and microwave remote sensing communities.
Our topic mainly focuses on learning to understand remote sensing images. We discuss some critical problems in major practical applications including image classification, object detection, image segmentation, image correction, hyperspectral unmixing, change detection, etc. We report the state-of-the-art of machine learning techniques and statistical computing methods to analyze remote sensing data, such as deep learning, graphical models, sparse coding, and kernel machines.

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