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A Neural Network Method of Selective Endmember for Pixel Unmixing 一种用于像素解混的选择性端元神经网络方法
National Remote Sensing Bulletin Pub Date : 1900-01-01 DOI: 10.11834/jrs.20070103
Liu Ping-xiang
{"title":"A Neural Network Method of Selective Endmember for Pixel Unmixing","authors":"Liu Ping-xiang","doi":"10.11834/jrs.20070103","DOIUrl":"https://doi.org/10.11834/jrs.20070103","url":null,"abstract":"Remote sensing images contain a lot of mixed image pixels,but it is difficult to classify these pixels.If the number of pixel's endmember is regarded as unchangeable,the traditional pixel unmixing algorithm cannot get a good result.In this paper we develop a new method of selective endmembers for pixel unmixing based on the fuzzy ARTMAP neural network,which firstly compares the pixel's spectral to the conference one and then gets the number of endmember.When it is taken into account,we use an ARTMAP neural network to extract subpixel information.Finally,the experimental results show that the selective endmember algorithm has been improved over conventional ANN algorithms and conventional linear algorithms.","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115727058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Classification of plantation types based on WFV multispectral imagery of the GF-6 satellite 基于GF-6卫星WFV多光谱影像的人工林类型分类
National Remote Sensing Bulletin Pub Date : 1900-01-01 DOI: 10.11834/jrs.20219090
Jianwen Huang, Zeng-yuan Li, E. Chen, Lei Zhao, Bingping Mo
{"title":"Classification of plantation types based on WFV multispectral imagery of the GF-6 satellite","authors":"Jianwen Huang, Zeng-yuan Li, E. Chen, Lei Zhao, Bingping Mo","doi":"10.11834/jrs.20219090","DOIUrl":"https://doi.org/10.11834/jrs.20219090","url":null,"abstract":"","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115727318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Spatio-temporal probability threshold method of remote sensing for mangroves mapping in China 中国红树林遥感测绘的时空概率阈值法
National Remote Sensing Bulletin Pub Date : 1900-01-01 DOI: 10.11834/jrs.20220449
Ke Huang, Xiangzhen Meng, Gang Yang, Weiwei Sun
{"title":"Spatio-temporal probability threshold method of remote sensing for mangroves mapping in China","authors":"Ke Huang, Xiangzhen Meng, Gang Yang, Weiwei Sun","doi":"10.11834/jrs.20220449","DOIUrl":"https://doi.org/10.11834/jrs.20220449","url":null,"abstract":"","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123053245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Fine classification of near-ground point cloud based on terrestrial laser scanning and detection of forest fallen wood 基于地面激光扫描和森林落木检测的近地点云精细分类
National Remote Sensing Bulletin Pub Date : 1900-01-01 DOI: 10.11834/jrs.20197383
Zhenyu Ma, Y. Pang, Zeng-yuan Li, Hao Lu, Luxia Liu, Bowei Chen
{"title":"Fine classification of near-ground point cloud based on terrestrial laser scanning and detection of forest fallen wood","authors":"Zhenyu Ma, Y. Pang, Zeng-yuan Li, Hao Lu, Luxia Liu, Bowei Chen","doi":"10.11834/jrs.20197383","DOIUrl":"https://doi.org/10.11834/jrs.20197383","url":null,"abstract":"","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124437030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Vegetation degradation analysis in typical region of the loess plateau based on remote sensing:a case in Jinghe River Basin 基于遥感的黄土高原典型地区植被退化分析——以泾河流域为例
National Remote Sensing Bulletin Pub Date : 1900-01-01 DOI: 10.11834/jrs.20090251
Qin Xiang-hua
{"title":"Vegetation degradation analysis in typical region of the loess plateau based on remote sensing:a case in Jinghe River Basin","authors":"Qin Xiang-hua","doi":"10.11834/jrs.20090251","DOIUrl":"https://doi.org/10.11834/jrs.20090251","url":null,"abstract":"Jinghe River Basin is chosen as a case to study vegetation degradation in Loess Plateau in this paper. Firstly, remote sensing based vegetation index (VI) and climatic aridity index are used to estimate potential vegetation index by regression model approach. The spatial distributions of current vegetation and potential vegetation in Jinghe River Basin are then obtained according to supervised classification of NDVI remote images and potential vegetation index. The status or severity of vegetation degradation is analyzed by means of the transfer possibility between vegetation types. The result shows that the main potential vegetation types of the Jinghe River Basin are broadleaved and coniferous mixed sparse forest (32.44%), broadleaved deciduous forest (31.28%) and shrub(23.71%). It is found that 25.08% and 13.32% of the broad leaves forest potential region were converted to cultivated land and broadleaved and coniferous mixed sparse forest, while 13.04% and 14.22% changed to shrub and aridity shrub with only 25.09% potential region remained broad leaves forest. Potential region of the broadleaved and coniferous mixed spare forest changed to cropland(26.01%), aridity shrub(20.99%)and meadow (17.12% ) whereas potential region for shrub was dominant by meadow (30.29%) and grassland (43.21%). Vegetation degradation is most serious in loess gully region, followed by loess hilly region in northern basin whereas vegetation degradation in mountain region of Ziwuling in eastern basin and Liupanshan in western basin are relative slight.","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"515 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123071371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Progress in remote sensing of vegetation chlorophyll fluorescence 植被叶绿素荧光遥感研究进展
National Remote Sensing Bulletin Pub Date : 1900-01-01 DOI: 10.11834/jrs.20090515
Zhang Yongjiang, Liu Liangyun, Hou Ming-yu, Li Lian-tao, Liu Cun-dong
{"title":"Progress in remote sensing of vegetation chlorophyll fluorescence","authors":"Zhang Yongjiang, Liu Liangyun, Hou Ming-yu, Li Lian-tao, Liu Cun-dong","doi":"10.11834/jrs.20090515","DOIUrl":"https://doi.org/10.11834/jrs.20090515","url":null,"abstract":"Chlorophyll fluorescence (CF) has become a powerful tool in plant photosynthesis research and stress detection. These types of methods have been mostly relegated to the laboratory. Recently much attention has been paid to chlorophyll fluorescence sensing for the remote estimation of plant physiological status. Remotely sensed chlorophyll fluorescence emission has a potential to become one of the major global-scale reporter signals on vegetation performance and stress. In this paper, firstly, laser induced fluorescence sensing was presented, including a brief introduction, plant fluorescence spectral characters and some applications for stress detection. An overview was then given to the developments of solar induced fluorescence sens- ing, including methodology for the retrieval of vegetation CF from apparent reflectance (vegetation indices and FLD) and appli- cations for monitoring plant health. Finally, the future development trends and the prospect of active and passive remote sensing of chlorophyll fluorescence were discussed.","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123172122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 13
Theoretical Simulation of Single Leaf’s Optical Characteristics 单叶光学特性的理论模拟
National Remote Sensing Bulletin Pub Date : 1900-01-01 DOI: 10.11834/jrs.20030201
Wang Chang-yao
{"title":"Theoretical Simulation of Single Leaf’s Optical Characteristics","authors":"Wang Chang-yao","doi":"10.11834/jrs.20030201","DOIUrl":"https://doi.org/10.11834/jrs.20030201","url":null,"abstract":"In this study using PROSPECT Model and in situ optical measurement of corn leaf, mesophyll structure parameter N of different growth phase as calculated. Based on this, given different chlorophyll and water content, corn leaf optical characteristics were modeled. It is found that in the visible region, chlorophyll dominates the optical characteristics, with the increasing of leaf chlorophyll content leaf reflectance and transmittance decrease and accordingly leaf absorptance increases while in the infrared region, water's effect prevails, with the increasing of water content leaf reflectance and transmittance decrease and accordingly leaf absorptance increases. At the same time, given fixed chlorophyll and water content, leaf optical characteristics varying with different mesophyll structure were simulated. It is found that with the increasing of N , leaf reflectance increases and reaches an asymptote while leaf transmittance decreases and reaches an asymptote also.","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115827248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Remote sensing retrieval of high-spatial-resolution land surface albedo 高空间分辨率地表反照率的遥感反演
National Remote Sensing Bulletin Pub Date : 1900-01-01 DOI: 10.11834/jrs.20231732
Congcong Zhao, Jianguang Wen, D. You, Yong Tang, X. Chen, Qiang Liu
{"title":"Remote sensing retrieval of high-spatial-resolution land surface albedo","authors":"Congcong Zhao, Jianguang Wen, D. You, Yong Tang, X. Chen, Qiang Liu","doi":"10.11834/jrs.20231732","DOIUrl":"https://doi.org/10.11834/jrs.20231732","url":null,"abstract":"","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116698639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Application-oriented real-time remote sensing service technology 面向应用的实时遥感服务技术
National Remote Sensing Bulletin Pub Date : 1900-01-01 DOI: 10.11834/jrs.20210260
D. Li, Lin Ding, Z. Shao
{"title":"Application-oriented real-time remote sensing service technology","authors":"D. Li, Lin Ding, Z. Shao","doi":"10.11834/jrs.20210260","DOIUrl":"https://doi.org/10.11834/jrs.20210260","url":null,"abstract":"","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117110690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Remote sensing of indicators for evaluating karst rocky desertification 喀斯特石漠化评价指标的遥感研究
National Remote Sensing Bulletin Pub Date : 1900-01-01 DOI: 10.11834/jrs.20110124
Yue Yuemin
{"title":"Remote sensing of indicators for evaluating karst rocky desertification","authors":"Yue Yuemin","doi":"10.11834/jrs.20110124","DOIUrl":"https://doi.org/10.11834/jrs.20110124","url":null,"abstract":"Karst rocky desertification is the most serious problems of land degradation in karst regions, southwest China. Remote sensing technique is the promising method to assess and monitor the degree and extent of karst rocky desertification at large scale. In this study, based on field spectral reflectance measurements, the traditional vegetation indices (VIs) and linear spectral unmixing (LSU) are assessed to extract the key indicators of karst rocky desertification. Karst rocky desertification synthesis index (KRDSI) has been developed with the unique of spectral features observed in non-vegetation land cover types. The results show that VIs could be used to extract the fractional cover of green vegetation, and they are not sensitive to soil background. Both VIs and LSU can efficiently extract the fractional cover of non-green vegetation. Compared with LSU, KRDSI shows more consistent results with the field measurement of non-vegetation land cover fractions. This study indicates that evaluation indicators of karst rocky desertification can be extracted from the Hyperion image with the combination of vegetation indices and KRDSI values.","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117158925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
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