rsidea-whu2020 Goto Github PK
Name: RSIDEA
Type: User
Company: Wuhan University
Bio: Intelligent Data Extraction, Analysis and Applications of Remote Sensing
Location: Wuhan
Name: RSIDEA
Type: User
Company: Wuhan University
Bio: Intelligent Data Extraction, Analysis and Applications of Remote Sensing
Location: Wuhan
This is an official implementation of Auto-AD in our TGRS 2021 paper " Auto-AD: Autonomous hyperspectral anomaly detection network based on fully convolutional autoencoder ".
Zhao B , Zhong Y , Xia G S , et al. Dirichlet-derived multiple topic scene classification model fusing heterogeneous features for high resolution remote sensing imagery[J]. IEEE Transactions on Geoence and Remote Sensing, 2015, 54(4).
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification
X. Wang, Y. Zhong, C. Cui, L. Zhang and Y. Xu, "Autonomous Endmember Detection via an Abundance Anomaly Guided Saliency Prior for Hyperspectral Imagery," in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 3, pp. 2336-2351, March 2021, doi: 10.1109/TGRS.2020.3001353.
Zhong, Y., W. Li, X. Wang, S. Jin and L. Zhang. "Satellite-ground integrated destriping network: A new perspective for EO-1 Hyperion and Chinese hyperspectral satellite datasets." Remote Sensing of Environment 237: 111416.
X. Wang, Y. Zhong, L. Zhang, and Y. Xu, “Spatial Group Sparsity Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing,” IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 11, pp.6287-6304, 2017.
Zhao B , Zhong Y , Zhang L . A spectral–structural bag-of-features scene classifier for very high spatial resolution remote sensing imagery[J]. Isprs Journal of Photogrammetry & Remote Sensing, 2016, 116(jun.):73-85.
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