Superpixel based Analysis and Classification of Remote Sensing Images

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

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