National Remote Sensing Bulletin最新文献

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渤海近岸水体漫衰减系数Kd(490)遥感反演模型 渤海近岸水体漫衰减系数Kd(490)遥感反演模型
National Remote Sensing Bulletin Pub Date : 1900-01-01 DOI: 10.11834/jrs.20090306
崔廷伟, 张杰, 马毅, 孙凌, 赵文静
{"title":"渤海近岸水体漫衰减系数Kd(490)遥感反演模型","authors":"崔廷伟, 张杰, 马毅, 孙凌, 赵文静","doi":"10.11834/jrs.20090306","DOIUrl":"https://doi.org/10.11834/jrs.20090306","url":null,"abstract":"利用2005年渤海近岸水体生物光学数据集,建立了基于水体遥感反射率光谱Rrs(λ)数据的490nm波段水体漫衰减系数Kd(490)经验反演模型,经实测数据检验,模型反演结果的平均相对误差为18.4%,均方根误差(对数坐标下)为0.094m^-1,相关系数R^2(对数坐标下)为0.902。分析了模型的噪声敏感性,在输入端引入±5%误差的情况下,模型反演结果的平均相对误差波动在9%以内,均方根误差的变化在0.035m^-1以内,模型是稳定可靠的。以ENVISAT MERIS数据为例,进行了模型的示范应用,给出了渤海Kd(490)的空间分布。","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"14 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":"123301858","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
THE FEASIBILITY STUDY OF LAND SURFACE TEMPER-ATURE MEASUREMENTS FROM SPACE 从太空测量地表温度的可行性研究
National Remote Sensing Bulletin Pub Date : 1900-01-01 DOI: 10.11834/jrs.1989010
Z. Wan
{"title":"THE FEASIBILITY STUDY OF LAND SURFACE TEMPER-ATURE MEASUREMENTS FROM SPACE","authors":"Z. Wan","doi":"10.11834/jrs.1989010","DOIUrl":"https://doi.org/10.11834/jrs.1989010","url":null,"abstract":"","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"48 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":"123456054","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
Technologies of extracting land utilization information based on SVM method with multi-window texture 基于多窗口纹理SVM方法的土地利用信息提取技术
National Remote Sensing Bulletin Pub Date : 1900-01-01 DOI: 10.11834/jrs.20120415
K. Le
{"title":"Technologies of extracting land utilization information based on SVM method with multi-window texture","authors":"K. Le","doi":"10.11834/jrs.20120415","DOIUrl":"https://doi.org/10.11834/jrs.20120415","url":null,"abstract":"In order to overcome the problem of fragmentation of ground objects and low accuracy in the single window texture classification,we present a new method of classification using SVM based on multi-window texture,using the Changjiaoba town of Foping county in Shaanxi Province as the test area.First we established the SVM classification model combined with texture analysis based on texture extraction from SPOT 5 remote sensing image.Then we used the model to classify and analyze the types of land use in the area by comparing it with single window texture classification and single data source(spectrum) SVM classification.The research result showed an overall accuracy for multi-window texture classification of 85.33%,which was 13.11% higher than the single window texture classification and 24.10% than single data source(spectrum) SVM.Therefore,we conclude that the method is effective and could solve the problem of fragmentation of ground objects and low accuracy in the single window texture classification.","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"27 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":"123574974","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
Spatial Resolution Enhancement of Microwave Radiometer Using BG Algorithm 利用BG算法增强微波辐射计的空间分辨率
National Remote Sensing Bulletin Pub Date : 1900-01-01 DOI: 10.11834/jrs.20040505
Jiang Jing-shan
{"title":"Spatial Resolution Enhancement of Microwave Radiometer Using BG Algorithm","authors":"Jiang Jing-shan","doi":"10.11834/jrs.20040505","DOIUrl":"https://doi.org/10.11834/jrs.20040505","url":null,"abstract":"In this paper, a BG algorithm to enhance the spatial resolution of microwave radiometer is introduced. The main principle of the BG algorithm is as follows. A higher resolution image can be obtained using the linear combination of the adjacent measurements if the density of the measurement is larger than that of the instrument. The principle is also suitable for other microwave remote sensing sensors. The tunable parameter referenced from the study of Stogryn is introduced in this paper, which it can balance the tradeoff between the spatial resolution and the system sensitivity, and prevent increasing the flicker noise of the image too serious when high spatial resolution is pursued. Simulated images of microwave radiometer at 20, 50, and 90GHz were enhanced. The rate of spatial resolution enhancement depends on the density of the sampling.","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"7 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":"123711235","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
Estimation of large-scale impervious surface percentage by fusion of multi-source time series remote sensing data 基于多源时序遥感数据融合的大尺度不透水面百分比估算
National Remote Sensing Bulletin Pub Date : 1900-01-01 DOI: 10.11834/jrs.20209450
Fanggang Li, Erzhu Li, A. Samat, Lianpeng Zhang, Wei Liu, Jinshan Hu
{"title":"Estimation of large-scale impervious surface percentage by fusion of multi-source time series remote sensing data","authors":"Fanggang Li, Erzhu Li, A. Samat, Lianpeng Zhang, Wei Liu, Jinshan Hu","doi":"10.11834/jrs.20209450","DOIUrl":"https://doi.org/10.11834/jrs.20209450","url":null,"abstract":"","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"14 4 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":"123799102","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
Analysis on Urban Environment in Tangshan Using SPOT Image 基于SPOT影像的唐山市城市环境分析
National Remote Sensing Bulletin Pub Date : 1900-01-01 DOI: 10.11834/jrs.1987036
Zhihuai Guo
{"title":"Analysis on Urban Environment in Tangshan Using SPOT Image","authors":"Zhihuai Guo","doi":"10.11834/jrs.1987036","DOIUrl":"https://doi.org/10.11834/jrs.1987036","url":null,"abstract":"","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"29 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":"125288111","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
A Method for Fast Resampling of Remote Sensing Imagery 一种遥感图像快速重采样方法
National Remote Sensing Bulletin Pub Date : 1900-01-01 DOI: 10.11834/jrs.20020204
Yang Jin-song
{"title":"A Method for Fast Resampling of Remote Sensing Imagery","authors":"Yang Jin-song","doi":"10.11834/jrs.20020204","DOIUrl":"https://doi.org/10.11834/jrs.20020204","url":null,"abstract":"A method for fast resampling of remote sensing imagery has been developed based on the nature of the geometric distortion of raw imagery. The method was applied to resample SeaStar SeaWiFS and NOAA AVHRR images. Examples of the resampling of SeaStar SeaWiFS images are presented by using the results have shown that the resampling using the method suggested in this paper is much faster than other resampling methods. A weighted neighbour intensity interpolation has also been proposed. The quality of the resampled images is improved. The weighted neighbour intensity interpolation. Advantages of the weighted neighboun intensity interpolation over the nearest-neighbour and bilinear intensity interpolations have been discussed.","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"15 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":"125337425","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: 2
Multi-exponential model based bias field correction of SAR sea ice image 基于多指数模型的SAR海冰影像偏场校正
National Remote Sensing Bulletin Pub Date : 1900-01-01 DOI: 10.11834/jrs.20110113
Wang Gengzhong
{"title":"Multi-exponential model based bias field correction of SAR sea ice image","authors":"Wang Gengzhong","doi":"10.11834/jrs.20110113","DOIUrl":"https://doi.org/10.11834/jrs.20110113","url":null,"abstract":"The paper proposes a novel algorithm of SAR sea ice image incidence angle bias field correction using multi-exponential model.In the algorithm,the image mean values along SAR azimuth direction are firstly calculated.Then an one-dimensional correction field is modeled by a multi-exponential model.Whereafter,the one-dimensional correction field is calculated by applying entropy minimization method.After that the original image is corrected by the two-dimensional correction field derived from the one-dimensional correction field.The experiment result indicates that the proposed algorithm is effective in correcting SAR sea ice image's incidence angle bias field.Besides,the proposed algorithm has better correction result than Karvonen's method without the incidence angle information of the pixels.","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"5 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":"125391360","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
Study on Multi-source Data Acquisitionin Airborne Scanning Laser Ranging-Imager Sensor 机载扫描激光测距成像仪传感器多源数据采集研究
National Remote Sensing Bulletin Pub Date : 1900-01-01 DOI: 10.11834/jrs.20020203
X. Yong-qi
{"title":"Study on Multi-source Data Acquisitionin Airborne Scanning Laser Ranging-Imager Sensor","authors":"X. Yong-qi","doi":"10.11834/jrs.20020203","DOIUrl":"https://doi.org/10.11834/jrs.20020203","url":null,"abstract":"The Airborne Scanning Laser Ranging-Imager Sensor (ASLRIS) is a new generation of remote sensing and mapping system for providing 3D geosciences information. The system integrates the laser altimeter, IR imager, Differential Global Positioning System (DGPS) and Inertial Navigation System (INS), by which Digital Elevation Model (DEM) and Georeferenced Image (GI) can be generated quickly and effectively without ground control points. The electric synchronization technology makes sampling-time in consistency with laser ranger and scanning imager to match height data and image data.","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"12 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":"125541181","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 and research progress of fire monitoring using satellite remote sensing 卫星遥感火灾监测的应用与研究进展
National Remote Sensing Bulletin Pub Date : 1900-01-01 DOI: 10.11834/jrs.20209118
Xingfeng Chen, Li Liu, Jiaguo Li, Wenhao Ou, Yuhuan Zhang
{"title":"Application and research progress of fire monitoring using satellite remote sensing","authors":"Xingfeng Chen, Li Liu, Jiaguo Li, Wenhao Ou, Yuhuan Zhang","doi":"10.11834/jrs.20209118","DOIUrl":"https://doi.org/10.11834/jrs.20209118","url":null,"abstract":"","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"5 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":"125581048","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
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