成果/Result
- Aboveground Biomass Retrieval and Time Series Analysis Across Different Forest Types Using Multi-Source Data Fusion被引量:40收藏
- 作者:Shen, Yi[1] Chen, Qianqian[1] Zhu, Tingting[2] Zhang, Qian[2,3] Zhang, Yu[4,5]
- 机构: Nanjing Institute of Metrological Supervision and Testing; School of Geomatics Science and Technology; State Key Laboratory of Remote Sensing Science; Chinese Antarctic Center of Surveying and Mapping; Key Laboratory of Polar Environment Monitoring and Public Governance
- 来源:Forests 2026
- 关键词:Biomass - Carbon - Carbon cycle - Climate change - Data fusion - Ecology - Forest ecology - Forestry - Learning systems - Regional planning - Remote sensing
- Rape (Brassica napus L.) growth monitoring and mapping based on Radarsat-2 time-series data被引量:38收藏
- 作者:Zhang, Wangfei[1,2] Chen, Erxue[2] Li, Zengyuan[2] Zhao, Lei[2] Ji, Yongjie[1]
- 机构: College of Forestry; Institute of Forest Resource Information Techniques; College of Ecology and Soil and Water Conservation
- 来源:Remote Sensing 2018
- 关键词:Plants (botany) - Polarimeters - Sensitivity analysis - Regression analysis - Mapping - Synthetic aperture radar - Mean square error
- Forest hEIght retrieval using P-band airborne multi-baseline SAR data: A novel phase compensation method被引量:34收藏
- 作者:Lu, Hongliang[1,2] Zhang, Heng[1] Fan, Huaitao[1] Liu, Dacheng[1] Wang, Jili[1]
- 机构:Chinese Acad Sci;Univ Chinese Acad Sci;Chinese Acad Forestry
- 来源:ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 2021
- 关键词:Forest 3-D structure Phase errors compensation Network construction Phase gradient autofocus SAR tomography
- A New Approach for Forest HEIght Inversion Using X-Band Single-Pass InSAR Coherence Data被引量:28收藏
- 作者:Zhao, Lei[1,2] Chen, Erxue[1,2] Li, Zengyuan[1,2] Zhang, Wangfei[3] Fan, Yaxiong[1,2]
- 机构:Chinese Acad Forestry;NFGA;Southwest Forestry Univ
- 来源:IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2022
- 关键词:Forestry Coherence Decorrelation Data models Mathematical model Backscatter Synthetic aperture radar Coherence forest hEIght inversion interferometric synthetic aperture radar (InSAR) multilevel model (MLM) single-pass InSAR X-band
- Forest Growing Stock Volume Estimation in Subtropical Mountain Areas Using PALSAR-2 L-Band PolSAR Data被引量:28收藏
- 作者:Zhang, Haibo[1] Zhu, Jianjun[1] Wang, Changcheng[1] Lin, Hui[2] Long, Jiangping[2]
- 机构:Cent S Univ;Cent South Univ & Technol;Chinese Acad Forestry
- 来源:FORESTS 2019
- 关键词:forest growing stock volume (GSV) full polarimetric SAR subtropical forest topographic effects environment effects
- Compact Polarimetric Response of Rape (Brassica napus L.) at C-Band: Analysis and Growth Parameters Inversion被引量:23收藏
- 作者:Zhang, Wangfei[1,2] Li, Zengyuan[1] Chen, Erxue[1] Zhang, Yahong[2] Yang, Hao[3]
- 机构:Chinese Acad Forestry;Southwest Forestry Univ;Beijing Acad Agr & Forestry Sci
- 来源:REMOTE SENSING 2017
- 关键词:compact polarimetric (CP) SAR rape Radarsat-2 day after sowing (DAS) random forest Stokes parameters polarimetric decomposition backscatter coefficients
- 多时相双极化合成孔径雷达干涉测量土地覆盖分类方法被引量:20收藏
- 作者:王馨爽[1,2] 陈尔学[1] 李增元[1] 姚顽强[3] 赵磊[1]
- 机构:中国林业科学研究院资源信息研究所;国家测绘地理信息局陕西基础地理信息中心;西安科技大学测绘科学与技术学院
- 来源:《测绘学报》 2015
- 关键词:多时相 极化 干涉合成孔径雷达 土地覆盖分类
- 摘要:综合采用时相、极化和干涉3种维度的SAR数据进行土地覆盖分类。以黑龙江省逊克县多时相ALOS PALSAR数据覆盖区为研究区,利用不同时相极化SAR、干涉SAR信号对地物特征的敏感性,结合后向散射强度和干涉相干的时变特征...
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- Three-Step Semi-Empirical Radiometric Terrain Correction Approach for PolSAR Data Applied to Forested Areas被引量:17收藏
- 作者:Zhao, Lei[1] Chen, Erxue[1] Li, Zengyuan[1] Zhang, Wangfei[2] Gu, Xinzhi[1]
- 机构:Chinese Acad Forestry;Southwest Forestry Univ
- 来源:REMOTE SENSING 2017
- 关键词:angular effect biomass estimation polarimetric SAR polarisation orientation angle terrain correction
- The P-band SAR Satellite: Opportunities and Challenges被引量:17收藏
- 作者:Li, Wei[1] Tong, Qingwei[1] Xu, Liying[1] Ji, Peng[1] Dong, Fang[1]
- 机构: Shanghai Institute of Satellite Engineering; Institute of Forest Resources Information Technique; State Key Laboratory of Information Engineering in Surveying; Aerospace Information Research Institute; Thirty-eighth Research Institute of China Electronic Science and Technology Group Co.
- 来源:2019 6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019 2019
- 关键词:Forestry - Satellites - Synthetic aperture radar - Topography
- Forest Aboveground Biomass Estimation Using Multi-Features Extracted by Fitting Vertical Backscattered Power Profile of Tomographic SAR被引量:15收藏
- 作者:Wan, Xiangxing[1,2] Li, Zengyuan[1,2] Chen, Erxue[1,2] Zhao, Lei[1,2] Zhang, Wangfei[3]
- 机构:Chinese Acad Forestry;Chinese Acad Forestry;Southwest Forestry Univ
- 来源:REMOTE SENSING 2021
- 关键词:TomoSAR forest AGB backscattered power forest vertical profile
- Analysis of forestry application potential of LuTan-1 mission: Preliminary assessment based on airborne experiment被引量:13收藏
- 作者:Xu, Kunpeng[1,2] Zhao, Lei[1,2] Chen, Erxue[1,2] Li, Zhengyuan[1,2]
- 机构: Institute of Forest Resources Information Technique; Key Laboratory of Forestry Remote Sensing and Information System
- 来源:Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR 2022
- 关键词:Forestry - Mapping - Space-based radar - Timber
- Using compact polarimetric parameters for rape (brassica napus L.) LAI inversion被引量:11收藏
- 作者:Zhang, Wangfei[1,2] Chen, Erxue[2] Li, Zengyuan[2] Zhao, Lei[2] Ji, Yongjie[1]
- 机构: College of Forestry; Institute of Forest Resources Information Technique
- 来源:International Geoscience and Remote Sensing Symposium (IGARSS) 2017
- 关键词:CP Inversion Rape LAI
- Exploring optimal combinations of multi-frequency polarimetric SAR observations to estimate forest above-ground biomass被引量:10收藏
- 作者:Ji, Yongjie[1] Zhang, Fuxiang[1] Zhang, Wangfei[2] Zhao, Lei[3] Xu, Kunpeng[3]
- 机构:Southwest Forestry Univ;Southwest Forestry Univ;Chinese Acad Forestry
- 来源:GEO-SPATIAL INFORMATION SCIENCE 2024
- 关键词:Multi-frequency combination forest Above-Ground Biomass (AGB) polarimetric synthetic aperture radar
- 基于机载P-波段全极化SAR数据的复杂地形森林地上生物量估测方法被引量:10收藏
- 作者:冯琦[1] 陈尔学[1] 李增元[1] 李兰[1] 赵磊[1]
- 机构:中国林业科学研究院资源信息研究所国家林业局遥感与信息技术重点开放性实验室
- 来源:《林业科学》 2016
- 关键词:机载SAR P-波段 PolSAR 森林地上生物量 地形
- 摘要:【目的】利用国产合成孔径雷达(SAR)系统(CASMSAR)获取的机载P-波段全极化SAR(PolSAR)数据,分析SAR对森林地上生物量(AGB)的响应与地形的关系,建立融合地形因子的高精度多项式模型,以提高森林AGB...
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- The Performance of Airborne C-Band PolInSAR Data on Forest Growth Stage Types Classification被引量:10收藏
- 作者:Feng, Qi[1] Zhou, Liangjiang[1] Chen, Erxue[2] Liang, Xingdong[1] Zhao, Lei[2]
- 机构:Chinese Acad Sci;Chinese Acad Forestry;Clark Univ
- 来源:REMOTE SENSING 2017
- 关键词:PolInSAR forest types polarimetric texture coherence
- Forest canopy hEIght estimation from interferometric TanDEM-X coherence data over complex terrain area被引量:9收藏
- 作者:Fan, Yaxiong[1] Chen, Erxue[1] Li, Zengyuan[1] Zhang, Wangfei[1,2] Zhao, Lei[1]
- 机构: Institute of Forest Resources Information Technique; College of Forestry
- 来源:International Geoscience and Remote Sensing Symposium (IGARSS) 2018
- 关键词:Geology - Remote sensing - Forestry
- NPP Estimation of High Heterogeneous Region based on Spatiotemporal Fusion被引量:9收藏
- 作者:Li, Wenmei[1] Wu, Jiaqi[1,2,3] Zhao, Lei[2,3]
- 机构: School of Geographic and Biologic Information; Research Institute of Forest Resource Information Techniques; The Key Laboratory of Forestry Remote Sensing and Information System
- 来源:International Geoscience and Remote Sensing Symposium (IGARSS) 2022
- A Modified Capon Method for SAR Tomography Over Forest被引量:9收藏
- 作者:Lu, Hongliang[1,2] Fan, Huaitao[1] Zhang, Heng[1] Liu, Dacheng[1] Zhao, Lei[3]
- 机构:Chinese Acad Sci;Univ Chinese Acad Sci;Chinese Acad Forestry
- 来源:IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 2022
- 关键词:Forestry Estimation Synthetic aperture radar Optical wavelength conversion Multiple signal classification Tomography Radar polarimetry Forest structure modified-Capon (M-Capon) method synthetic aperture radar (SAR) tomography (TomoSAR)
- Estimation of biomass in winter wheat (triticum aestivum l.) using polarimetric water-cloud model被引量:8收藏
- 作者:Zhang, Wangfei[1] Chen, Erxue[2] Li, Zengyuan[2] Zhao, Lei[2] Gao, Zhihai[2]
- 机构: College of Forestry; Institute of Forest Resource Information Techniques
- 来源:International Geoscience and Remote Sensing Symposium (IGARSS) 2019
- 关键词:Cloud computing - Crops - Surface scattering - Polarimeters
- Using stokes parameters derived from Radarsat-2 data for rape (Brassica napus L.) biomass inversion被引量:8收藏
- 作者:Yang, Yue[1] Zhang, Wangfei[1] Li, Zengyuan[2] Chen, Erxue[2] Zhao, Lei[2]
- 机构: College of Forestry; Institute of Forest Resources Information Technique
- 来源:International Geoscience and Remote Sensing Symposium (IGARSS) 2018
- 关键词:Inversion Rape biomass Stokes parameters
- Capability of multi-temporal Radarsat-2 data in monitoring canola crop and its plant hEIght被引量:7收藏
- 作者:Yang, Hao[1,2] Chen, Erxue[1] Li, Zengyuan[1] Yang, Guijun[2] Xu, Xingang[2]
- 机构:Chinese Acad Forestry;Beijing Acad Agr & Forestry Sci
- 来源:THIRD INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS 2014) 2014
- 关键词:synthetic aperture radar crop growth monitoring hEIght estimation polarimetric feature
- Segmentation and classification of PolSAR data using spectral graph partitioning被引量:6收藏
- 作者:Zhao, Lei[1] Chen, Erxue[1]
- 机构: Institute of Forest Resources and Information Technology
- 来源:Proceedings of SPIE - The International Society for Optical Engineering 2013
- 关键词:Graph structures - Graph theory - Image classification - Image segmentation - Information use - Remote sensing - Synthetic aperture radar
- An automatic optimization method of forest type classification using PolSAR image based on genetic algorithm被引量:6收藏
- 作者:Xu, Kunpeng[1] Chen, Erxue[1] Li, Zengyuan[1] Zhao, Lei[1] Wan, Xiangxing[1]
- 机构: Institute of Forest Resources Information Technique
- 来源:2019 6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019 2019
- 关键词:Classification (of information) - Forestry - Genetic algorithms - Image enhancement - Polarization - Support vector machines - Synthetic aperture radar
- 雷达遥感农业应用综述被引量:6收藏
- 作者:张王菲[1] 陈尔学[2] 李增元[2] 杨浩[3] 赵磊[2]
- 机构:西南林业大学林学院;中国林业科学研究院资源信息研究所;北京市农林科学院北京农业信息技术研究中心
- 来源:《雷达学报》 2020
- 关键词:雷达遥感 农业 后向散射特征 极化特征 干涉特征 层析特征
- 摘要:雷达遥感具有全天时、全天候监测的能力,对植被具有一定的穿透能力,对植被散射体形状、结构、介电常数敏感;这些特性使得其在农业应用中极具潜力。该文首先介绍了雷达遥感在农业中的应用领域,概略总结了目前在农作物识别与分类、农田土...
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- The synergetic estimation approach of forest above ground biomass based on X-band InSAR and P-band PolSAR data被引量:5收藏
- 作者:Zhao, Lei[1] Chen, Erxue[1] Li, Zengyuan[1] Zhang, Wangfei[2] Fan, Yaxiong[1]
- 机构: Institute of Forest Resources Information Technique; College of Forestry
- 来源:International Geoscience and Remote Sensing Symposium (IGARSS) 2018
- 基于均值漂移和谱图分割的极化SAR影像分割方法及其评价被引量:5收藏
- 作者:赵磊[1,2] 陈尔学[1,2] 李增元[1,2] 冯琦[1,2] 李兰[1,2]
- 机构:中国林业科学研究院资源信息研究所;国家林业局遥感与信息技术重点开放性实验室
- 来源:《武汉大学学报:信息科学版》 2015
- 关键词:极化合成孔径雷达 影像分割 均值漂移 谱图分割 归一化割
- 摘要:提出了一种基于均值漂移和谱图分割的极化SAR(PolSAR)影像分割方法。首先,通过均值漂移算法对PolSAR影像进行过分割处理,并基于Wishart统计分布和假设检验的方法构建边缘检测器,充分利用了PolSAR影像的全...
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- The Forest above Ground Biomass Estimation Based on Multi-Feature Combination Method Using Multi-Frequency SAR Data被引量:5收藏
- 作者:Ma, Yunmei[1] Zhao, Lei[1] Chen, Erxue[1] Li, Zengyuan[1] Fan, Yaxiong[1]
- 机构: Chinese Academy of Forestry
- 来源:International Geoscience and Remote Sensing Symposium (IGARSS) 2024
- Aboveground Biomass Retrieval in Tropical and Boreal Forests Using L-Band Airborne Polarimetric Observations被引量:4收藏
- 作者:Wang, Mengjin[1] Zhang, Wangfei[1] Ji, Yongjie[2] Marino, Armando[3] Xu, Kunpeng[4]
- 机构:Southwest Forestry Univ;Southwest Forestry Univ;Univ Stirling;Chinese Acad Forestry
- 来源:FORESTS 2023
- 关键词:forest AGB polarimetric SAR observations L-band parametric and nonparametric feature optimization inversion methods
- 极化SAR K-Wishart分类器及其性能评价被引量:4收藏
- 作者:李兰[1,2] 陈尔学[1,2] 李增元[1,2] 冯琦[1,2] 赵磊[1,2]
- 机构:中国林业科学研究院资源信息研究所;国家林业局遥感与信息技术重点开放性实验室
- 来源:《武汉大学学报:信息科学版》 2016
- 关键词:极化SAR Wishart分类器 K-Wishart分类器 非高斯特性 分类性能
- 摘要:K-Wishart分布旨在通过统计方法更精确地描述极化SAR多视协方差矩阵或相干矩阵数据,揭示极化SAR影像在异质场景下的非高斯统计特性。以内蒙古自治区依根实验区和河北省遵化实验区的国内机载数据为例,分别进行了Wisha...
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- Error Analysis and Compensation for SINC Simplified Model in Forest HEIght Inversion被引量:4收藏
- 作者:Li, Wenmei[1] Zhang, Yu[1,2,3] Zhao, Lei[2,3] Chen, Huaihuai[1]
- 机构: School of Geographic and Biologic Information; Research Institute of Forest Resource Information Techniques; Nfga
- 来源:International Geoscience and Remote Sensing Symposium (IGARSS) 2022
