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利用POLDER多角度偏振数据反演陆上气溶胶光学厚度的群组残差最优方法 期刊论文
遥感学报, 2022, 卷号: 26, 期号: 03, 页码: 505-515
作者:  高鑫;  胡秀清;  方伟;  张鹏
收藏  |  浏览/下载：1/0  |  提交时间：2023/05/18
基于DPC的经验正交函数气溶胶细粒子光学厚度反演算法 期刊论文
激光与光电子学进展, 2022, 页码: 21
作者:  李文杰;  王淑荣;  颜昌翔;  丁宁
收藏  |  浏览/下载：4/0  |  提交时间：2023/05/18
Radiometric Cross-Calibration of the Wide Field View Camera Onboard GaoFen-6 in Multispectral Bands 期刊论文
Remote Sensing, 2020, 卷号: 12, 期号: 6, 页码: 21
作者:  A. X. Yang,B. Zhong,L. F. Hu,S. L. Wu,Z. P. Xu,H. B. Wu,J. J. Wu,X. S. Gong,H. B. Wang and Q. H. Liu
收藏  |  浏览/下载：2/0  |  提交时间：2021/07/06
Polarimetric remote sensing of atmospheric aerosols: Instruments, methodologies, results, and perspectives 期刊论文
Journal of Quantitative Spectroscopy & Radiative Transfer, 2019, 卷号: 224, 页码: 474-511
作者:  O.Dubovik;  Z.Q.Li;  M.I.Mishchenko;  D.Tanre;  Y.Karol
收藏  |  浏览/下载：1/0  |  提交时间：2020/08/24
空间高光谱遥感仪器辐射定标技术研究 学位论文
中国科学院大学(中国科学院长春光学精密机械与物理研究所): 中国科学院大学(中国科学院长春光学精密机械与物理研究所), 2018
作者:  孙立微
收藏  |  浏览/下载：0/0  |  提交时间：2019/09/23
基于航天单色仪的在轨辐射定标应用与发展 期刊论文
光学精密工程, 2015, 期号: 07, 页码: 1880-1891
作者:  夏志伟;  王凯;  方伟;  王玉鹏
收藏  |  浏览/下载：19/0  |  提交时间：2016/07/06
Applications and development of radiation calibration in orbit based on space monochromator 期刊论文
Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2015, 卷号: 23, 期号: 7, 页码: 1880-1891
作者:  Xia, Z.-W.;  K. Wang;  W. Fang and Y.-P. Wang
收藏  |  浏览/下载：14/0  |  提交时间：2016/08/24
Saline-alkali land classification using MODIS data in Western Jilin Province, China 会议论文
Satellite Data Compression, Communications, and Processing IX, August 26, 2013 - August 27, 2013, San Diego, CA, United states
Gu L.; Ren R.; Cao J.; Sun J.
收藏  |  浏览/下载：9/0  |  提交时间：2014/05/15
Retrieval of snow depth in Northeast China using FY-3B/MWRI passive microwave remote sensing data (EI CONFERENCE) 会议论文
Satellite Data Compression, Communications, and Processing VIII, August 12, 2012 - August 13, 2012, San Diego, CA, United states
Ren R.; Gu L.; Chen H.; Cao J.
收藏  |  浏览/下载：129/0  |  提交时间：2013/03/25
Comparing with optical remote sensing techniques  passive remote sensing data have been proved to be effective for observing snowpack parameters such as snow depth and snow water equivalent  which can penetrate snowpack without clouds interferences. The Microwave Radiation Imager (MWRI) loaded on the Chinese FengYun-3B (FY-3B) satellite is gradually used in the global environment research through November  2011. In this paper  we proposed a snow depth retrieval algorithm to estimate snow depth in Northeast China using MWRI passive microwave remote sensing data. A decision tree method of snow identification was firstly designed to distinguish different snow cover conditions in order to eliminate other interference signals. After using the proposed decision tree method  the processing results were further used to retrieve the snow depth in Northeast China. Finally  the practical snow depth data and the MODIS data were collected for the accuracy assessment of the proposed snow depth retrieval method. The experimental results demonstrated that the RMSE of snow depth used the proposed method was approximately 3 cm in Northeast China. 2012 SPIE.  
Evaluation of spatial upscaling methods based on remote sensing data with multiple spatial resolutions (EI CONFERENCE) 会议论文
Satellite Data Compression, Communications, and Processing VIII, August 12, 2012 - August 13, 2012, San Diego, CA, United states
Ren R.; Gu L.; Cao J.; Chen H.; Sun J.
收藏  |  浏览/下载：28/0  |  提交时间：2013/03/25
In most applications of remote sensing data  special spatial information is required from a finer to a coarser spatial resolution with appropriate upscaling methods. The purpose of this paper is to compare and evaluate current spatial upscaling methods using MODIS remote sensing data with multiple spatial resolutions. In the research  Northeast China was selected as the study area. MODIS data with spatial resolutions of 250 m (2 bands) and 500 m (7 bands) were used as the test data. Through using the selected upscaling methods  the Band 1 and Band 2 data of MODIS were scaled up from 250 m to 500 m spatial resolution. On the basis of land cover characteristics of Northeast China  the MODIS data located in the study area was classified into the five land cover types  including water  grasslands  forests  farmlands and bare lands using maximum likelihood method. The land cover classification results were further compared with MODIS Land Cover Type product. Finally  Structural Similarity (SSIM) was selected to evaluate the effects of these upscaling methods. The research can provide more useful information for spatial scaling transformation in remote sensing data applications. 2012 SPIE.  

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