Results 1 to 10 of about 9,139 (221)
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 ...
Shichuan Chen +2 more
exaly +4 more sources
SLIC Superpixels Compared to State-of-the-Art Superpixel Methods [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012 Computer vision applications have come to rely increasingly on superpixels in recent years, but it is not always clear what constitutes a good superpixel algorithm. In an effort to understand the benefits and drawbacks of existing methods, we empirically compare five state-of-the-art superpixel algorithms for their ability to adhere to image boundaries,
Sabine Süsstrunk, , Pascal Fua
exaly +5 more sources
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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Fuzzy Superpixels Based Semi-Supervised Similarity-Constrained CNN for PolSAR Image Classification
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.
Shichuan Chen, Rong Qu, Fang Liu
exaly +3 more sources
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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Iterative Boundaries Implicit Identification for Superpixels Segmentation: A Real-Time Approach
IEEE Access, 2021 Superpixel algorithms group visually coherent pixels and form an alternative representation of the regular structure of the pixel grid. This fundamental low-level computer vision preprocessing step greatly reduces the complexity of subsequent image ...
Serge Bobbia +5 more
doaj +2 more sources
Automatic Image Segmentation With Superpixels and Image-Level Labels
IEEE Access, 2019 Automatically and ideally segmenting the semantic region of each object in an image will greatly improve the precision and efficiency of subsequent image processing.
Xinlin Xie +4 more
doaj +2 more sources
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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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
exaly +3 more sources
Hypergraph Convolution Network Classification for Hyperspectral and LiDAR Data [PDF]
SensorsConventional remote sensing classification approaches based on single-source data exhibit inherent limitations, driving significant research interest in improved multimodal data fusion techniques.
Lei Wang, Shiwen Deng
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