Results 21 to 30 of about 57,062 (333)
Hyperspectral Image Database Query Based on Big Data Analysis Technology [PDF]
E3S Web of Conferences, 2021 In this paper, we extract spectral image features from a hyperspectral image database, and use big data technology to classify spectra hierarchically, to achieve the purpose of efficient database matching.
Qi Beixun
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A new kernel method for hyperspectral image feature extraction [PDF]
, 2017 Hyperspectral image provides abundant spectral information for remote discrimination of subtle differences in ground covers. However, the increasing spectral dimensions, as well as the information redundancy, make the analysis and interpretation of ...
Gao, Lianru +3 more
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Unsupervised spectral sub-feature learning for hyperspectral image classification [PDF]
, 2016 Spectral pixel classification is one of the principal techniques used in hyperspectral image (HSI) analysis. In this article, we propose an unsupervised feature learning method for classification of hyperspectral images.
De Neve, Wesley +4 more
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Hyperspectral Image Classification Scheme with Boundary Constrain Label Smoothing Based on Block Neighbor [PDF]
Jisuanji gongcheng, 2017 In order to improve the accuracy of hyperspectral image classification,combined with spectral information,neighborhood information and boundary information,this paper proposes a hyperspectral image classification scheme.The method takes the Local Fisher ...
CHEN Shanxue,GUI Chengming,WANG Yining
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Naive Gabor Networks for Hyperspectral Image Classification [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2021 Recently, many convolutional neural network (CNN) methods have been designed for hyperspectral image (HSI) classification since CNNs are able to produce good representations of data, which greatly benefits from a huge number of parameters. However, solving such a high-dimensional optimization problem often requires a large amount of training samples in
Chenying Liu +5 more
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Combining multiscale features for classification of hyperspectral images: a sequence based kernel approach [PDF]
, 2016 Nowadays, hyperspectral image classification widely copes with spatial information to improve accuracy. One of the most popular way to integrate such information is to extract hierarchical features from a multiscale segmentation.
Chapel, Laetitia +2 more
core +4 more sources
IEEE Access, 2020 In order to improve the classification of hyperspectral image(HSI), we propose a novel hyperspectral image classification method based on the comprehensive evaluation model of extreme learning machine(ELM) with the cumulative variation weights(CVW ...
Yuping Yin, Lin Wei
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Remote Sensing, 2022 Hyperspectral image (HSI) classification is one of the main research contents of hyperspectral technology. Existing HSI classification algorithms that are based on deep learning use a large number of labeled samples to train models to ensure excellent ...
Shuhan Zhang +5 more
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A fuzzy spectral clustering algorithm for hyperspectral image classification
IET Image Processing, 2021 Spectral clustering is an unsupervised clustering algorithm, and is widely used in the field of pattern recognition and computer vision due to its good clustering performance.
Kang Li +3 more
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Supervised hyperspectral image classification with rejection
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015 Hyperspectral image classification is a challenging problem as obtaining complete and representative training sets is costly, pixels can belong to unknown classes, and it is generally an ill-posed problem. The need to achieve high classification accuracy may surpass the need to classify the entire image.
Filipe Condessa +2 more
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