Trends and Prospects in Hyperspectral Remote Sensing Images Processing and Analysis

Dear Colleagues,

Hyperspectral remote sensing technology is able to analyze the structure and material characteristics of surface features by simultaneously obtaining spatial and spectral information. It also has the ability to distinguish more types of features and invert an increased number of features. Currently, hyperspectral remote sensing is widely used in many fields, such as precision agriculture, geological surveys, land and resource surveys, atmospheric environment analysis, and military target detection. Hyperspectral image processing and analysis play the crucial role for the above applications, such as anomaly detection, denoising, super-resolution, object detection, fusion, classification, unmixing, etc. Therefore, the main purpose of this Special Issue is to showcase recent techniques and trends used for processing and analyzing hyperspectral remote sensing images and to promote the development of spectral imaging technologies.

This Special Issue aims to collect studies concerning hyperspectral remote sensing image processing and analysis, especially for the new methods, frameworks, trends, and prospects.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

• Hyperspectral image anomaly detection;
• Hyperspectral image denoising;
• Hyperspectral image super-resolution;
• Hyperspectral image object detection;
• Hyperspectral image fusion;
• Hyperspectral image classification;
• Hyperspectral image unmixing;
• Hyperspectral video tracking.

Dr. Qiang Zhang
Dr. Kui Jiang
Guest Editors

Mr. Yi Xiao
Guest Editor Assistant

Manuscript Submission Information

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