成果/Result

林业物联网发展现状与展望被引量：185收藏 分享

作者：Xuanxin, Liu[1,2,3] Xinwen, Yu[1,2,3] Xu, Zhang[1,2,3] Guang, Deng[1,2,3] Xuan, Ouyang[1,2,3]

机构： Institute of Forest Resource Information Techniques; Key Laboratory of Forestry Remote Sensing and Information System; Xinjiang West Tianshan Forest Ecosystem Observation and Research Station

来源：[1] Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, 100091, China; [2] Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing, 100091, China; [3] Xinjiang West Tianshan Forest Ecosystem Observation and Research Station, Gongliu, 835400, China  2026

G-SEED: A Spatio-temporal Encoding Framework for Forest and Grassland Data Based on GeoSOT被引量：15收藏 分享

作者：Ouyang, Xuan[1] Yu, Xinwen[1] Chen, Yan[1] Deng, Guang[1] Liu, Xuanxin[1]

机构： Institute of Forest Resource Information Techniques

来源：arXiv  2025

关键词：Big data - Computer software reusability - Data mining - decision making - Encoding (symbols) - Forestry - Geographic information systems - Information management - Query processing - Remote sensing - Search engines - Signal encoding  

G-SEED: A spatio-temporal encoding framework for forest and grassland data based on GeoSOT被引量：15收藏 分享

作者：Ouyang, Xuan[1,2] Yu, Xinwen[1,2] Chen, Yan[1,2] Deng, Guang[1,2] Liu, Xuanxin[1,2]

机构： Institute of Forest Resource Information Techniques; Key Laboratory of Forestry Remote Sensing and Information System

来源：Proceedings of SPIE - The International Society for Optical Engineering  2026

关键词：Big data - Computer software reusability - decision making - Forestry - Geographic information systems - Image coding - Information management - Query processing - Remote sensing - Search engines - Signal encoding - Trees (mathematics)  

Precious Tree Pest Identification with Improved Instance Segmentation Model in Real Complex Natural Environments被引量：7收藏 分享

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  

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 分享

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

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