Results 31 to 40 of about 495 (155)
Polarimetric SAR ship detection based on superpixel and sparse reconstruction saliency
工程科学学报, 2023 Polarimetric SAR ship detection is an important application of the polarimetric SAR system. Existing polarimetric SAR ship detection methods are plagued by erroneous detection of strong clutter and missed detection of small targets in multiscale ...
Jiahao LUO, Junjun YIN, Jian YANG
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MSP : Refine Boundary Segmentation via Multiscale Superpixel
CoRR, 2021 In this paper, we propose a simple but effective message passing method to improve the boundary quality for the semantic segmentation result. Inspired by the generated sharp edges of superpixel blocks, we employ superpixel to guide the information passing within feature map.
Jie Zhu +4 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Unmanned aerial vehicles (UAVs) are promising remote sensors capable of reforming remote sensing applications. However, for artificial-intelligence-guided tasks, such as land cover mapping and ground-object mapping, most deep-learning-based architectures
Tanmay Kumar Behera +3 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 The convolutional neural network (CNN) has a poor performance in nonuniform and edge regions due to the limitation of fixed receptive field. At the same time, feature stacking of input data can bring burden and overfitting to the network.
Ronghua Shang +5 more
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Image classification using graph neural network and multiscale wavelet superpixels
Pattern Recognition Letters, 2023 Prior studies using graph neural networks (GNNs) for image classification have focused on graphs generated from a regular grid of pixels or similar-sized superpixels. In the latter, a single target number of superpixels is defined for an entire dataset irrespective of differences across images and their intrinsic multiscale structure.
Varun Vasudevan +3 more
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MULTISCALE SEGMENTATION OF POLARIMETRIC SAR IMAGE BASED ON SRM SUPERPIXELS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Abstract. Multi-scale segmentation of remote sensing image is more systematic and more convenient for the object-oriented image analysis compared to single-scale segmentation. However, the existing pixel-based polarimetric SAR (PolSAR) image multi-scale segmentation algorithms are usually inefficient and impractical.
F. Lang, J. Yang, L. Wu, D. Li, D. Li
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, 2022 In this paper, a hand-crafted spectral-spatial feature extraction (SEA-FE) method for classification of hyperspectral images (HSIs) is proposed to improve the classification performance, especially in the limited labelled training samples.
Seyyed Ali Ahmadi, Nasser Mehrshad
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Superpixel-based automatic segmentation of villi in confocal endomicroscopy [PDF]
, 2016 Confocal Laser Endomicroscopy (CLE) is a technique permitting on-site microscopy of the gastrointestinal mucosa after the application of a fluorescent agent, allowing the evaluation of mucosa alterations. These are used as features by skilled technicians
Leong, RWL +3 more
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Superpixel Embedding Network [PDF]
, 2019 Superpixel segmentation is a fundamental computer vision technique that finds application in a multitude of high level computer vision tasks. Most state-of-the-art superpixel segmentation methods are unsupervised in nature and thus cannot fully utilize ...
Gaur, Utkarsh, Manjunath, BS
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Research on land use classification of hyperspectral images based on multiscale superpixels
Mathematical Biosciences and Engineering, 2020 With the rapid development of remote sensing technology, research on land use classification methods based on hyperspectral remote sensing images has attracted widespread attention. Existing land-use classification studies mostly use the average filtering method at a single scale for spectral image processing. These methods cannot accurately filter the
Hua Wang +4 more
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