成果/Result
- Estimating montane forest above-ground biomass in the upper reaches of the HEIhe River Basin using Landsat-TM data被引量：42收藏
- 作者：Tian, Xin[1,2] Li, Zengyuan[1] Su, Zhongbo[2] Chen, Erxue[1] van der Tol, Christiaan[2]
- 机构：Chinese Acad Forestry;Univ Twente;Chinese Acad Sci;Fuzhou Univ;Univ Technol Sydney
- 来源：INTERNATIONAL JOURNAL OF REMOTE SENSING 2014
- 关键词：Estimation - Landforms - Linear regression - Mean square error - Nearest nEIghbor search - Remote sensing - Water resources - Watersheds
- Optimal Support Vector Machines for Forest Above-ground Biomass Estimation from Multisource Remote Sensing Data被引量：15收藏
- 作者：Guo, Ying[1] Li, Zengyuan[1] Zhang, Xu[1] Chen, Er-xue[1] Bai, Lina[1]
- 机构：Chinese Acad Forestry
- 来源：2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) 2012
- 关键词：SVM KNN RbfNN BPNN random forest forest above-ground biomass multisource remote sensing estimation
- Precious Tree Pest Identification with Improved Instance Segmentation Model in Real Complex Natural Environments被引量：5收藏
- 作者：Guo, Ying[1] Gao, Junjia[1] Wang, Xuefeng[1] Jia, Hongyan[2] Wang, Yanan[2]
- 机构：Chinese Acad Forestry;Chinese Acad Forestry;Forestry Res Inst Chifeng
- 来源：FORESTS 2022
- 关键词：precious trees control small pest segmentation instance segmentation Mask RCNN Swin Transformer
- LAND COVER CLASSIFICATION BY SUPPORT VECTOR MACHINES USING MULTI-TEMPORAL POLARIMETRIC SAR DATA被引量：4收藏
- 作者：Feng, Qi[1] Chen, Er-xue[1] Li, Zengyuan[1] Guo, Ying[1] Zhou, Wei[1]
- 机构：Chinese Acad Forestry
- 来源：2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) 2012
- 关键词：POLSAR multi-temporal SVM land cover
- SIMULATION OF CARBON FLUX OF FOREST ECOSYSTEM BY BIOME-BGC AND MODIS-PSN MODELS被引量：2收藏
- 作者：Yan, Min[1] Li, Zengyuan[1] Tian, Xin[1] Chen, Erxue[1] Zhang, Wangfei[1]
- 机构：Chinese Acad Forestry
- 来源：2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) 2014
- 关键词：carbon flux Biome-BGC MODIS-PSN combination the Qilian Mountains
- Fast and automatic forest volume estimation based on K nearest nEIghbor and SAR被引量：2收藏
- 作者：Guo Ying[1] Li Zeng-yuan[1] Chen Er-xue[1] Zhang Xu[1]
- 机构：Chinese Acad Forestry
- 来源：INTERNATIONAL SYMPOSIUM ON LIDAR AND RADAR MAPPING 2011: TECHNOLOGIES AND APPLICATIONS 2011
- 关键词：KNN parallel computing SAR forest volume leave-one-out cross-validation
- A new method for estimating forest stand carbon stock: Segmentation and modeling based on forest aboveground imagery被引量：2收藏
- 作者：Chen, Xingjing[1,2] Guo, Ying[1,2] Chen, Zhulin[1,2] Luo, Xin[1,2] Wang, Peng[1,2]
- 机构：Chinese Acad Forestry;Natl Forestry & Grassland Adm
- 来源：ECOLOGICAL INDICATORS 2024
- 关键词：Aboveground imagery Fully convolutional networks WEIght least squares methods Stand Carbon Stock
- DYNAMIC ANALYSIS AND MODELING OF FOREST ABOVE-GROUND BIOMASS被引量：2收藏
- 作者：Tian, Xin[1] Li, Zengyuan[1] Guo, Yun[1] Yan, Min[1] Chen, Erxue[1]
- 机构：Chinese Acad Forestry
- 来源：2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) 2014
- 关键词：Dynamic analysis and modeling remote sensing forest carbon Biome-BGC model
- Mapping Coniferous Forest Distribution in a Semi-Arid Area Based on Multi-Classifier Fusion and Google Earth Engine Combining Gaofen-1 and Sentinel-1 Data: A Case Study in Northwestern Liaoning, China被引量：1收藏
- 作者：Liu, Lizhi[1,2,3] Zhang, Qiuliang[2] Guo, Ying[1,3] Li, Yu[4] Wang, Bing[2]
- 机构：Chinese Acad Forestry;Inner Mongolia Agr Univ;Chinese Acad Forestry;Liaoning Tech Univ
- 来源：FORESTS 2024
- 关键词：coniferous forests semi-arid multi-classifier fusion Gaofen-1 Sentinel-1 Google Earth Engine
- 一种改进的高空间分辨率遥感影像森林类型深度学习精细分类方法:双支FCN-8s被引量：0收藏
- 作者：郭颖[1] 李增元[1] 陈尔学[1] 张旭[1] 赵磊[1]
- 机构：中国林业科学研究院资源信息研究所
- 来源：《林业科学》 2020
- 关键词：森林类型 深度学习 全卷积神经网络 GF-2 双支FCN-8s
- 摘要：【目的】对全卷积神经网络模型进行双支化改进,探索高空间分辨率遥感影像森林类型深度学习分类新方法,为提高森林资源遥感调查精度提供技术支撑。【方法】双支FCN-8s包含2个FCN-8s子模型,一个子模型基于R、G、B三波段特...
- 其他来源数据库：
万方期刊数据库
同方期刊数据库 - 下载全文在线阅读
- Feature selection method of support vector machinefor polarimetricsar landcover classification被引量：0收藏
- 作者：Feng, Qi[1] Chen, Er-Xue[1] Li, Zengyuan[1] Guo, Ying[1] Li, Wenmei[1]
- 机构： Research Institute of Forest Resource Information Techniques
- 来源：European Space Agency, (Special Publication) ESA SP 2013
- 关键词：Image enhancement - Support vector machines - Synthetic aperture radar
- 联合LiDAR、高光谱数据及3D-CNN方法的树种分类被引量：0收藏
- 作者：毛英伍[1] 郭颖[2] 张王菲[1] 苏勇[1] 关塬[1]
- 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
- 来源：《林业科学》 2023
- 关键词：高光谱 LiDAR 卷积神经网络 树种分类 3D-CNN
- 摘要：【目的】探究三维卷积神经网络(3D-CNN)在高光谱数据支持的树种分类中的有效网络构建方式,以提高树种分类精度。【方法】以美国加利福尼亚州内华达山脉南部为研究区,LiDAR数据获取的森林冠层高(CHM)进行单木分割并以此...
- 其他来源数据库：万方期刊数据库同方期刊数据库
- 下载全文在线阅读
- Feature selection method of support vector machine for polarimeric sar landcover classification被引量：0收藏
- 作者：Feng, Qi[1] Chen, Er-Xue[1] Li, Zengyuan[1] Guo, Ying[1] Li, Wenmei[1]
- 机构： Research Institute of Forest Resource Information Techniques
- 来源：European Space Agency, (Special Publication) ESA SP 2013
- 关键词：Feature extraction - Knowledge based systems - Support vector machines
- 基于无人机LiDAR和高空间分辨率卫星遥感数据的区域森林郁闭度估测模型被引量：0收藏
- 作者：徐恩恩[1,2] 郭颖[2] 陈尔学[2] 李增元[2] 赵磊[2]
- 机构：西安科技大学测绘科学与技术学院;中国林业科学研究院资源信息研究所
- 来源：《武汉大学学报：信息科学版》 2022
- 关键词：区域森林郁闭度 深度学习 光学遥感 激光雷达
- 摘要：森林郁闭度是森林资源调查中的一个重要因子,对森林质量评价具有重要作用。随着人工智能技术和遥感技术的不断发展,研究如何利用深度学习有效协同不同空间覆盖能力的遥感数据实现区域森林郁闭度的估测具有重要意义。由此提出了一种协同应...
- 其他来源数据库：万方期刊数据库同方期刊数据库
- 下载全文在线阅读
