Deep Learning for Hyperspectral Image Classification
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: closed (1 June 2023) | Viewed by 4937
Special Issue Editors
Interests: hyperspectral RS; plant disease diagnosis; animal remote sensing; cloud mask
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; data compression; signal and image processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The number of satellite hyperspectral sensors to monitor greenhouse gases, ocean colors, minerals, animals, and so on is increasing. Similarly, although expectations for drone hyperspectral imaging are increasing, in the past, drone hyperspectral sensors could not obtain good-quality aligned images due to the movement of the drone during scanning.
Now, however, there are sensors that can solve the above problem, such as sensors with spectral filters attached to each pixel of the light-receiving element, which enable hyperspectral drone observations.
Meanwhile, applications of deep learning are popular in generic image recognition. Although it used to be necessary to determine the features and their thresholds used for image recognition, for example, supervised deep learning models learn and determine them from training images. In the result, it is inferred that features that have been difficult to formulate are also used.
Hyperspectral images contain vast amounts of information. There are also methods of determining and analyzing the absorption bands to be used in advance, but the use of deep learning is expected to increase the number of applications using hyperspectral images.
Although the focus of this Special Issue is deep learning for hyperspectral image, accompanying technologies and applications are also acceptable, e.g., methods for obtaining good-quality aligned images with line-scanning hyperspectral sensors on the drone. This Special Issue welcomes techniques and experimental research articles on the following topics, although progress reports on relevant research issues are also acceptable.
Dr. Yu Oishi
Dr. David Pan
Guest Editors
Manuscript Submission Information
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Keywords
- hyperspectral remote sensing
- deep learning
- hyperspectral image
- hyperspectral satellite sensor
- hyperspectral drone sensor
- hyperspectrometer
- spectral analysis
- image recognition
- data fusion
- new sensors
- applications