Results 1 to 10 of about 13,575,612 (179)
Improved Transformer Net for Hyperspectral Image Classification
Remote Sensing, 2021 In recent years, deep learning has been successfully applied to hyperspectral image classification (HSI) problems, with several convolutional neural network (CNN) based models achieving an appealing classification performance.
Yuhao Qing +3 more
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Remote Sensing, 2020 Hyperspectral image (HSI) classification has become one of the most significant tasks in the field of hyperspectral analysis. However, classifying each pixel in HSI accurately is challenging due to the curse of dimensionality and limited training samples.
Yunhao Zou +3 more
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SOFT COMPUTING APPROACHES FOR HYPERSPECTRAL IMAGE CLASSIFICATION [PDF]
ICTACT Journal on Soft Computing, 2020 Hyperspectral image classification is one of the most emerging form of image classification. It is able to convey information about an image in a more detailed way as compared to RGB or multispectral data.
H S Prasantha +3 more
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IEEE Access, 2021 The identification of tree species is of great significance to the sustainable management and utilization of forest ecosystems. Hyperspectral data provide sufficient spectral and spatial information to classify tree species. Convolutional neural networks
Yun Shi, Donghui Ma, Jie Lv, Jie Li
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Contrastive Learning Based on Transformer for Hyperspectral Image Classification
Applied Sciences, 2021 Recently, deep learning has achieved breakthroughs in hyperspectral image (HSI) classification. Deep-learning-based classifiers require a large number of labeled samples for training to provide excellent performance.
Xiang Hu +4 more
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SquconvNet: Deep Sequencer Convolutional Network for Hyperspectral Image Classification
Remote Sensing, 2023 The application of Transformer in computer vision has had the most significant influence of all the deep learning developments over the past five years.
Bing Li +4 more
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WHU-OHS: A benchmark dataset for large-scale Hersepctral Image classification
International Journal of Applied Earth Observations and Geoinformation, 2022 Hyperspectral image (HSI) classification is one of the most important remote sensing techniques. Currently, the performances of most of the HSI classification networks on the public HSI datasets are overoptimistic (i.e., the overall accuracy exceeds 98 %)
Jiayi Li, Xin Huang, Lilin Tu
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Journal of Spectral Imaging, 2022 Hyperspectral imaging (HSI) is a popular mode of remote sensing imaging that collects data beyond the visible spectrum. Many classification techniques have been developed in recent years, since classification is the most crucial task in hyperspectral ...
Tatireddy Subba Reddy +1 more
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Diseases of the Esophagus, 2022 Abstract Background and aim Digital pathology will revolutionize the discriminate of malignant and non-malignant cells in histologically specimens. Hyperspectral imaging (HSI), a new technology combing imaging with spectroscopy might be beneficial for tumor cell identification.
M Maktabi +6 more
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Segment-Based Clustering of Hyperspectral Images Using Tree-Based Data Partitioning Structures
Algorithms, 2020 Hyperspectral image classification has been increasingly used in the field of remote sensing. In this study, a new clustering framework for large-scale hyperspectral image (HSI) classification is proposed.
Mohamed Ismail, Milica Orlandić
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