HYPERSPECTRAL

作品数：231被引量：518H指数：11
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Advances in spaceborne hyperspectral remote sensing in China被引量：10
《Geo-Spatial Information Science》2021年第1期95-120,I0012,共27页Yanfei Zhong Xinyu Wang Shaoyu Wang Liangpei Zhang 
This work was supported by National Natural Science Foundation of China under Grant Nos.42071350,41820104006,41771385 and 41622107;supported by Postdoctoral Research Foundation of China.
With the maturation of satellite technology,Hyperspectral Remote Sensing(HRS)platforms have developed from the initial ground-based and airborne platforms into spaceborne platforms,which greatly promotes the civil app...
关键词：Hyperspectral remote sensing spaceborne HRS hyperspectral image processing and remote sensing applications 
A new kernel method for hyperspectral image feature extraction
《Geo-Spatial Information Science》2017年第4期309-318,共10页Bin Zhao Lianru Gao Wenzhi Liao Bing Zhang 
the National Natural Science Foundation of China [Grant Number 41722108],(Grant Number 91638201)%FWO project:data fusion for image analysis in remote sensing(Grant Number G037115N)
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 ana...
关键词：HYPERSPECTRAL IMAGE dimensionality reduction FEATURE extraction IMAGE SEGMENTATION KERNEL method 
Detection of leaf structures in close-range hyperspectral images using morphological fusion
《Geo-Spatial Information Science》2017年第4期325-332,共8页Gladys Villegas Wenzhi Liao Ronald Criollo Wilfried Philips Daniel Ochoa 
Close-range hyperspectral images are a promising source of information in plant biology,in particular,for in vivo study of physiological changes.In this study,we investigate how data fusion can improve the detection o...
关键词：HYPERSPECTRAL FUSION MORPHOLOGY PLANT BIOLOGY 
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 
Recent advances in hyperspectral image processing被引量：4
《Geo-Spatial Information Science》2012年第3期143-156,共14页ZHANG Liangpei DU Bo 
This work was supported in part by the National Basic Research Program of China(973 Program)under Grant 2012CB719905 and 2011CB707105;the National Natural Science Foundation of China under Grant 61102128;HuBei Province Natural Science Foundation under Grant No.2011CDB455;China’s Post-doctoral Science Foundation under 211–180,788;the Fundamental Research Funds for the Central Universities under 211-274633.
Hyperspectral images(HSI)provide a new way to exploit the internal physical composition of the land scene.The basic platform for acquiring HSI data-sets are airborne or spaceborne spectral imaging.Retrieving useful in...
关键词：hyperspectral images CLASSIFICATION spectral unmixing endmembers extraction target detection hyperspectral change detection 
A New Conception of Image Texture and Remote Sensing Image Segmentation Based on Markov Random Field被引量：1
《Geo-Spatial Information Science》2010年第1期16-23,共8页GONG Yan SHU Ning LI Jili LIN Liqun LI Xue 
Supported by the National Key Basic Research and Development Program(No.2006CB701303, No. 2004CB318206)
The texture analysis is often discussed in image processing domain, but most methods are limited within gray-level image or color image, and the present conception of texture is defined mainly based on gray-level imag...
关键词：hyperspectral multispectral MRF Gibbs model texture segmentation 
A Fast Clonal Selection Algorithm for Feature Selection in Hyperspectral Imagery被引量：1
《Geo-Spatial Information Science》2009年第3期172-181,共10页钟燕飞 张良培 
Supported by the Major State Basic Research Development Program (973 Program) of China (No. 2009CB723905);the National High Technology Research and Development Program (863 Program) of China (Nos.2009AA12Z114, 2007AA12Z148, 2007AA12Z181);the National Natural Sci-ence Foundation of China(Nos. 40771139,40523005, 40721001);the Research Fund for the Doctoral Program of Higher Education of China(No.200804861058);the Foundation of National Laboratory of Pattern Recognition
Clonal selection feature selection algorithm （CSFS） based on clonal selection algorithm （CSA）, a new computational intelligence approach, has been proposed to perform the task of dimensionality reduction in high-d...
关键词：HYPERSPECTRAL feature selection artificial immune systems artificial intelligence 
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