Superpixel based Analysis and Classification of Remote Sensing Images
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 (31 January 2019) | Viewed by 39638
Special Issue Editors
Interests: hyperspectral imaging; remote sensing; computer vision; machine learning; big data analytics
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; imaging science; GIS; land use and land cover change; urban environment and ecosystem
Special Issues, Collections and Topics in MDPI journals
Interests: photogrammetry and remote sensing; image processing
Special Issues, Collections and Topics in MDPI journals
Interests: urban and marine environment remote sensing; hyperspectral remote sensing; multisource remote sensing applications
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; image analysis; pattern recognition; signal processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, superpixels have attracted increasing attention in image analysis, especially for remote-sensing images. As a fundamental element of digital images, pixels represent little semantic entities. By expanding pixels to superpixels, similar pixels are grouped together to consequently form perceptually meaningful entities for image interpretation.
Consistent with the mechanisms of human visual systems, superpixel-based image analysis has become mainstream in remote-sensing image analysis. As superpixels can adhere to the natural image boundaries than square patches, they can achieve a better perceptual representation of images than pixels. As a result, they have been successfully applied in image segmentation, image classification, object detection and image annotation/retrieval for analyzing remote-sensing images.
However, there are still some unsolved problems with superpixels, such as the generation of superpixels and the determination of their optimal sizes, as well as how they can be combined with other image analysis techniques in further extended applications, i.e., superpixels-based graph representation for image analysis.
The aim of this Special Issue is to gather cutting-edge work currently being developed using superpixels for analysis and classification of remote-sensing images. Both original contributions with theoretical novelty and practical solutions for addressing particular problems in remote sensing are solicited. The main topics include, but not limited to:
- Algorithms for superpixel generation
- Optimal design of superpixels
- Superpixel based feature extraction
- Superpixel based image segmentation
- Superpixel based object detection
- Superpixel based image classification
- Superpixel based graph algorithms
- Superpixels for multispectral/hyperspectral/SAR and other images
- Superpixel-based applications in remote sensing, such as mapping of urban heat and impervious surface, disaster assessment, surface mapping of land and ocean, etc.
Dr. Jinchang Ren
Prof. Qihao Weng
Dr. Xiuping Jia
Dr Genyun Sun
Prof. Jon Atli Benediktsson
Guest Editors
Manuscript Submission Information
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Keywords
- remote sensing
- superpixels
- image analysis
- image classification
- image segmentation
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