Results 21 to 30 of about 7,130 (165)
Remote Sensing, 2022 Hyperspectral sharpening has been considered an important topic in many earth observation applications. Many studies have been performed to solve the Visible-Near-Infrared (Vis-NIR) hyperpectral sharpening problem, but there is little research related to
Sihan Huang, David Messinger
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Advances in Hyperspectral Image Classification: Earth monitoring with statistical learning methods [PDF]
, 2013 Hyperspectral images show similar statistical properties to natural grayscale or color photographic images. However, the classification of hyperspectral images is more challenging because of the very high dimensionality of the pixels and the small number
Benediktsson, Jón Atli +3 more
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A Novel Analysis Dictionary Learning Model Based Hyperspectral Image Classification Method
Remote Sensing, 2019 Supervised hyperspectral image (HSI) classification has been acknowledged as one of the fundamental tasks of hyperspectral data analysis. Witnessing the success of analysis dictionary learning (ADL)-based method in recent years, we propose an ADL-based ...
Wei Wei +5 more
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Hyperspectral imaging applied to end-of-life (EOL) concrete recycling [PDF]
, 2015 The recovery of materials from DW is an important target of the recycling industry and it is important to know which materials are presents in order to set up efficient sorting and/or quality control actions.
Bonifazi, Giuseppe +2 more
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Sensors, 2021 Hyperspectral image (HSI) classification is the subject of intense research in remote sensing. The tremendous success of deep learning in computer vision has recently sparked the interest in applying deep learning in hyperspectral image classification ...
Xiang Hu +4 more
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Convolutional neural network extreme learning machine for effective classification of hyperspectral images [PDF]
, 2018 Due to its excellent performance in terms of fast implementation, strong generalization capability and straightforward solution, extreme learning machine (ELM) has attracted increasingly attentions in pattern recognition such as face recognition and ...
Cao, Faxian +3 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 The small size of labeled samples has always been one of the great challenges in hyperspectral image (HSI) classification. Recently, cross-scene transfer learning has been developed to solve this problem by utilizing auxiliary samples of a relevant scene.
Chongxiao Zhong +3 more
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Geodatabase Development to Support Hyperspectral Imagery Exploitation [PDF]
, 2010 Geodatabase development for coastal studies conducted by the Naval Research Laboratory (NRL) is essential to support the exploitation of hyperspectral imagery (HSI).
Bachmann, Charles M +11 more
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Hyperspectral Image Classification with Multi-Scale Feature Extraction
Remote Sensing, 2019 Spectral features cannot effectively reflect the differences among the ground objects and distinguish their boundaries in hyperspectral image (HSI) classification.
Bing Tu +4 more
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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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