Results 41 to 50 of about 471,167 (221)
Early smoke detection of forest fires based on SVM image segmentation
Journal of Forest Science, 2019 A smoke detection method is proposed in single-frame video sequence images for forest fire detection in large space and complex scenes. A new superpixel merging algorithm is further studied to improve the existing horizon detection algorithm. This method
Ding Xiong, Lu Yan
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Multiscale Superpixel-Based Sparse Representation for Hyperspectral Image Classification †
Remote Sensing, 2017 Recently, superpixel segmentation has been proven to be a powerful tool for hyperspectral image (HSI) classification. Nonetheless, the selection of the optimal superpixel size is a nontrivial task.
Shuzhen Zhang +3 more
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Improved Fast Generation of Superpixel Algorithms with Deep Network
Jisuanji kexue yu tansuo, 2020 Superpixels are the result of over-segmentation of the image and provide an intermediate representation of the image data. It plays an important role in the research of computer vision and other fields. However, the existing superpixel algorithms are non-
SHENG Jiachuan, WANG Jiayuan, LI Yuzhi, WANG Jun
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Visual Object Tracking: The Initialisation Problem [PDF]
, 2018 Model initialisation is an important component of object tracking. Tracking algorithms are generally provided with the first frame of a sequence and a bounding box (BB) indicating the location of the object.
De Ath, George, Everson, Richard
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IEEE Access, 2021 For multimodal medical image fusion problems, most of the existing fusion approaches are based on pixel-level. However, the pixel-based fusion method tends to lose local and spatial information as the relationships between pixels are not considered ...
Junwei Duan +6 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingMost of the existing superpixel segmentation-based synthetic aperture radar (SAR) target detection algorithms cannot keep the independence of small targets under complex background, especially when the size of the targets varies greatly.
Shichao Chen +5 more
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Multiscale Superpixel Segmentation With Deep Features for Change Detection
IEEE Access, 2019 In this paper, a novel change detection technique is proposed based on multiscale superpixel segmentation and stacked denoising autoencoders (SDAE). This approach is designed to achieve superpixel-based change detection, in which the basic analysis unit ...
Yu Lei +4 more
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Superpixel Based Segmentation and Classification of Polyps in Wireless Capsule Endoscopy
, 2017 Wireless Capsule Endoscopy (WCE) is a relatively new technology to record the entire GI trace, in vivo. The large amounts of frames captured during an examination cause difficulties for physicians to review all these frames.
Maghsoudi, Omid Haji
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Multi-utility Learning: Structured-output Learning with Multiple Annotation-specific Loss Functions [PDF]
, 2014 Structured-output learning is a challenging problem; particularly so because of the difficulty in obtaining large datasets of fully labelled instances for training.
A. Delong +10 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingAccurate superpixel segmentation of ocean remote sensing data plays a crucial role in the success of monitoring the changes on the ocean surface. Recently, so many superpixel segmentation methods have attracted much attention to ocean remote sensing ...
Qianna Cui, Haiwei Pan, Kejia Zhang
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