SPECTRAL

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Spectral‐spatial sequence characteristics‐based convolutional transformer for hyperspectral change detection
《CAAI Transactions on Intelligence Technology》2023年第4期1237-1257,共21页Chengle Zhou Qian Shi Da He Bing Tu Haoyang Li Antonio Plaza 
supported in part by by the National Key R&D Program of China under Grant 2022YFB3903402;in part by the National Natural Science Foundation of China under Grant 42222106;in part by the National Natural Science Foundation of China under Grant 61976234 and 42201340。
Recently,ground coverings change detection(CD)driven by bitemporal hyperspectral images(HSIs)has become a hot topic in the remote sensing community.There are two challenges in the HSI‐CD task:(1)attribute feature rep...
关键词：change detection IMAGEANALYSIS 
Low-rank tensor completion with spatial-spectral consistency for hyperspectral image restoration
《Optoelectronics Letters》2023年第7期432-436,共5页XIAO Zhiwen ZHU Hu 
Hyperspectral image(HSI) restoration has been widely used to improve the quality of HSI.HSIs are often impacted by various degradations,such as noise and deadlines,which have a bad visual effect and influence the subs...
关键词：TENSOR CONSISTENCY removing 
Hyperspectral Image Sharpening Based on Deep Convolutional Neural Network and Spatial-Spectral Spread Transform Models
《Journal of Donghua University(English Edition)》2023年第1期88-95,共8页陆小辰 刘晓慧 杨德政 赵萍 阳云龙 
National Natural Science Foundation of China(No.61902060);Natural Science Foundation of Shanghai,China(No.19ZR1453800);Fundamental Research Funds for the Central Universities,China(No.2232021D-33)。
In order to improve the spatial resolution of hyperspectral(HS)image and minimize the spectral distortion,an HS and multispectral(MS)image fusion approach based on convolutional neural network(CNN)is proposed.The prop...
关键词：convolutional neural network(CNN) hyperspectral image image fusion multispectral image unmixing method 
Cascade conditional generative adversarial nets for spatial-spectral hyperspectral sample generation被引量：11
《Science China(Information Sciences)》2020年第4期77-92,共16页Xiaobo LIU Yulin QIAO Yonghua XIONG Zhihua CAI Peng LIU 
supported by National Nature Science Foundation of China(Grant Nos.61973285,61873249,61773355,61603355);National Nature Science Foundation of Hubei Province(Grant No.2018CFB528);Opening Fund of the Ministry of Education Key Laboratory of Geological Survey and Evaluation(Grant No.CUG2019ZR10);Fundamental Research Funds for the Central Universities(Grant No.CUGL17022)。
Sample generation is an effective way to solve the problem of the insufficiency of training data for hyperspectral image classification.The generative adversarial network(GAN)is one of the popular deep learning method...
关键词：HYPERSPECTRAL image sample generation GENERATIVE adversarial nets(GAN) deep learning spatial-spectral information 
Multiple Deep-Belief-Network-Based Spectral-Spatial Classification of Hyperspectral Images被引量：5
《Tsinghua Science and Technology》2019年第2期183-194,共12页Atif Mughees Linmi Tao 
supported in part by the National Natural Science Foundation of China(No.61672017);the National High-Tech Research and Development Program of China(No.2012AA011602)
A deep-learning-based feature extraction has recently been proposed for HyperSpectral Images(HSI)classification. A Deep Belief Network(DBN), as part of deep learning, has been used in HSI classification for deep and a...
关键词：HYPERSPECTRAL image CLASSIFICATION segmentation deep BELIEF network support VECTOR machine 
A Solely Radiance-based Spectral Angular Distribution Model and Its Application in Deriving Clear-Sky Spectral Fluxes over Tropical Oceans
《Advances in Atmospheric Sciences》2016年第2期259-268,共10页Lei SONG Yinan WANG 
supported by the National Natural Science Foundation of China (Grant No. 41105015)
The radiation budget at the top of the atmosphere plays a critical role in climate research. Compared to the broadband flux, the spectrally resolved outgoing longwave radiation or flux （OLR）, with rich atmospheric i...
关键词：hyperspectral radiance spectral angular distribution model scene type atmospheric infrared sounder 
Comparative spatio-spectral heterogeneity analysis using multispectral and hyperspectral airborne images被引量：1
《Geo-Spatial Information Science》2013年第2期83-90,共8页QIU Bingwen ZENG Canying CHEN Chongcheng 
This research is funded by Chinese National Natural Science Foundation(Grant No.41071267);Scientific Research Foundation for Returned Scholars,Ministry of Education of China([2012]940);the Science&technology department of Fujian province of China(Grant Nos.2012I0005,2012J01167);The authors would like to thank the Natural Environment Research Council of UK for the provision of the airborne remote sensing data.Part of the work for this study was carried out while Qiu Bingwen was a Visiting Scholar at the Department of Geography,University of Cambridge,England.The authors would like to acknowledge the advice of Robert Haining during her visit and to thank Ben Taylor and Gabriel Amable who kindly offered help in processing these datasets.
Knowledge of spatio-spectral heterogeneity within multisensor remote sensing images across visible,near-infrared and short wave infrared spectra is important.Till now,little comparative research on spatio-spectral het...
关键词：variogram modelling spatio-spectral heterogeneity ATM CASI EAGLE Hawkairborne imagery multi-sensors 
Spectral separability of tropical forest tree species using airborne hyperspectral imager
《Journal of Environmental Science and Engineering》2009年第1期37-41,共5页Kamaruzaman Jusoff Mohd Hasmadi Ismail Nurul Hidayah Mohd Ali 
In Malaysia, airborne hyperspectral remote sensing is a relatively new technique used for research and commercial value in forest inventory and mapping. An advantage of airborne remote sensing, compared to satellite r...
关键词：AIRBORNE HYPERSPECTRAL spectral library spectral angle mapper 
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