Search Results - 3-D convolutional autoencoder (3DCAE)

SLCRF: Subspace Learning With Conditional Random Field for Hyperspectral Image Classification.

Authors: Cao, Yun Mei, Jie Wang, Yuebin et al.

Source: IEEE Transactions on Geoscience & Remote Sensing; May2021, Vol. 59 Issue 5, p4203-4217, 15p

Subject Terms: RANDOM fields, MARKOV random fields, HABITAT suitability index models, CLASSIFICATION, PIXELS, LINEAR programming

A 3D-convolutional-autoencoder embedded Siamese-attention-network for classification of hyperspectral images.

Authors: Ranjan, Pallavi Kumar, Rajeev Girdhar, Ashish

Source: Neural Computing & Applications; May2024, Vol. 36 Issue 15, p8335-8354, 20p

Subject Terms: IMAGE recognition (Computer vision), DEEP learning, COMPUTER vision, URBAN agriculture, SUPERVISED learning, REMOTE sensing

Geographic Terms: SALINAS (Calif.)

Land use/land cover (LULC) classification using hyperspectral images: a review.

Authors: Lou, Chen Al-qaness, Mohammed A. A. AL-Alimi, Dalal et al.

Source: Geo-Spatial Information Science; Apr2025, Vol. 28 Issue 2, p345-386, 42p

Subject Terms: MACHINE learning, IMAGE recognition (Computer vision), ZONING, LAND cover, REMOTE sensing, DEEP learning

Spatial-spectral feature classification of hyperspectral image using a pretrained deep convolutional neural network.

Authors: Liu, Bing Yu, Anzhu Zuo, Xibing et al.

Source: European Journal of Remote Sensing; Dec 2021, Vol. 54 Issue 1, p385-397, 13p

Subject Terms: CONVOLUTIONAL neural networks, DEEP learning, FEATURE extraction, SUPPORT vector machines

A lightweight relation network for few-shots classification of hyperspectral images.

Authors: Mishra, Anshul Singh, Upendra Pratap Singh, Krishna Pratap

Source: Neural Computing & Applications; May2023, Vol. 35 Issue 15, p11417-11430, 14p

Subject Terms: DEEP learning, IMAGE recognition (Computer vision), CONVOLUTIONAL neural networks, PINE

A novel self‐supervised ensemble learning framework for land use and land cover classification of polarimetric synthetic aperture radar images.

Authors: Darvishnezhad, Mohsen Sebt, Mohammad Ali

Source: IET Radar, Sonar & Navigation (Wiley-Blackwell); Mar2024, Vol. 18 Issue 3, p379-409, 31p

Subject Terms: SYNTHETIC aperture radar, ZONING, IMAGE recognition (Computer vision), SYNTHETIC apertures, MAJORITIES, FEATURE extraction, LAND use

A multi-view ensemble model based on semi-supervised feature learning for small sample classification of PolSAR images.

Authors: Darvishnezhad, Mohsen

Source: International Journal of Remote Sensing; Feb2024, Vol. 45 Issue 3, p981-1031, 51p

Subject Terms: IMAGE recognition (Computer vision), SUPERVISED learning, SYNTHETIC aperture radar, FEATURE extraction, DEEP learning, SYNTHETIC apertures, IMAGE analysis

A nuclear norm-induced robust and lightweight relation network for few-shots classification of hyperspectral images.

Authors: Singh, Upendra Pratap Singh, Krishna Pratap Thakur, Manoj

Source: Multimedia Tools & Applications; Jan2024, Vol. 83 Issue 3, p9279-9306, 28p

Unlocking the Potential of Data Augmentation in Contrastive Learning for Hyperspectral Image Classification.

Authors: Li, Jinhui Li, Xiaorun Yan, Yunfeng

Source: Remote Sensing; Jun2023, Vol. 15 Issue 12, p3123, 19p

Subject Terms: IMAGE recognition (Computer vision), DATA augmentation, DEEP learning, FEATURE extraction, PROBLEM solving

Contrastive Learning Based on Transformer for Hyperspectral Image Classification.

Authors: Hu, Xiang Li, Teng Zhou, Tong et al.

Source: Applied Sciences (2076-3417); Sep2021, Vol. 11 Issue 18, p8670, 13p

Subject Terms: DEEP learning, CLASSIFICATION, HUMAN resources departments

ES 2 FL: Ensemble Self-Supervised Feature Learning for Small Sample Classification of Hyperspectral Images.

Authors: Liu, Bing Gao, Kuiliang Yu, Anzhu et al.

Source: Remote Sensing; Sep2022, Vol. 14 Issue 17, p4236, 19p

Subject Terms: SUPPORT vector machines, RANDOM forest algorithms, LEARNING strategies

Self-Supervised Assisted Semi-Supervised Residual Network for Hyperspectral Image Classification.

Authors: Song, Liangliang Feng, Zhixi Yang, Shuyuan et al.

Source: Remote Sensing; Jul2022, Vol. 14 Issue 13, p2997-N.PAG, 18p

Subject Terms: CLASSIFICATION, DEEP learning

Geographic Terms: SALINAS (Calif.)

Hyperspectral Image Classification Based on 3D Coordination Attention Mechanism Network.

Authors: Shi, Cuiping Liao, Diling Zhang, Tianyu et al.

Source: Remote Sensing; Feb2022, Vol. 14 Issue 3, p608, 1p

Subject Terms: DEEP learning, CONVOLUTIONAL neural networks, FEATURE extraction

Company/Entity: JOHN F. Kennedy Space Center, UNIVERSITY of Houston

Emerging Trends in Data Driven Computing and Communications : Proceedings of DDCIoT 2021

Authors: Rajeev Mathur C. P. Gupta Vaibhav Katewa et al.

Resource Type: eBook.

Subjects: Computational intelligence, Internet of things, Artificial intelligence, Wireless communication systems, Mobile communication systems, Quantitative research

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