Results 1 to 10 of about 4,217 (208)
Semantic Segmentation for SAR Image Based on Texture Complexity Analysis and Key Superpixels
Remote Sensing, 2020 In recent years, regional algorithms have shown great potential in the field of synthetic aperture radar (SAR) image segmentation. However, SAR images have a variety of landforms and a landform with complex texture is difficult to be divided as a whole ...
Ronghua Shang +2 more
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Remote Sensing, 2019 Fast and accurate classification of high spatial resolution remote sensing image is important for many applications. The usage of superpixels in classification has been proposed to accelerate the speed of classification.
Hengjian Tong, Fei Tong, Yun Zhang
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Fuzzy Superpixels Based Semi-Supervised Similarity-Constrained CNN for PolSAR Image Classification [PDF]
Remote Sensing, 2020 Recently, deep learning has been highly successful in image classification. Labeling the PolSAR data, however, is time-consuming and laborious and in response semi-supervised deep learning has been increasingly investigated in PolSAR image classification.
Rong Qu, Fang Liu, Yuwei Guo
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An Improved Image Semantic Segmentation Method Based on Superpixels and Conditional Random Fields
Applied Sciences (Switzerland), 2018 This paper proposed an improved image semantic segmentation method based on superpixels and conditional random fields (CRFs). The proposed method can take full advantage of the superpixel edge information and the constraint relationship among different ...
Wei Zhao, Yi Fu, Xiaosong Wei, Hai Wang
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Remote Sensing, 2017 Speed and accuracy are important factors when dealing with time-constraint events for disaster, risk, and crisis-management support. Object-based image analysis can be a time consuming task in extracting information from large images because most of the ...
Ovidiu Csillik
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Semi-Supervised PolSAR Image Classification Based on Self-Training and Superpixels
Remote Sensing, 2019 Polarimetric synthetic aperture radar (PolSAR) image classification is a recent technology with great practical value in the field of remote sensing. However, due to the time-consuming and labor-intensive data collection, there are few labeled datasets ...
Yanqiao Chen +2 more
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Remote Sensing, 2023 Superpixel-based classification using Active Learning (AL) has shown great potential in high spatial resolution remote sensing image classification tasks.
Jiechen Tang +4 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Each of the three satellites constituting the RADARSAT Constellation Mission (RCM) provides compact polarimetric synthetic aperture radar (CP SAR) data.
Mohsen Ghanbari +2 more
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Semantic-Aware Region Loss for Land-Cover Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Integrating superpixel segmentation into convolutional neural networks is known to be effective in enhancing the accuracy of land-cover classification.
Xianwei Zheng +5 more
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A Superpixel Boundary Optimization (SBO) Framework Based on Information Measure Function
IEEE Access, 2020 Superpixel is an essential tool for computer vision. In practice, classic superpixel algorithms do not exhibit good boundary adherence with fewer superpixels, which will greatly hamper further analysis.
Guoqi Liu +3 more
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