机构

• 地理科学与资源研究所 [3]
• 遥感与数字地球研究所 [3]
• 成都山地灾害与环境研... [1]
• 长春光学精密机械与物... [1]
• 寒区旱区环境与工程研... [1]
• 自动化研究所 [1]
• 更多

采集方式

• OAI收割 [11]
• iSwitch采集 [1]

内容类型

• 期刊论文 [7]
• 会议论文 [4]
• SCI/SSCI论文 [1]

发表日期

• 2025 [3]
• 2020 [2]
• 2019 [1]
• 2015 [2]
• 2013 [1]
• 2012 [2]
• 更多

学科主题

筛选

浏览/检索结果: 共12条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Enhancing DeepLabv3+Convolutional Neural Network Model for Precise Apple Orchard Identification Using GF-6 Remote Sensing Images and PIE-Engine Cloud Platform 期刊论文  OAI收割 REMOTE SENSING, 2025, 卷号: 17, 期号: 11, 页码: 1923 作者:  Gao, Guining;  Chen, Zhihan;  Wei, Yicheng;  Zhu, Xicun;  Yu, Xinyang   |  收藏  |  浏览/下载：3/0  |  提交时间：2025/07/18 agricultural mapping  apple orchard  deep learning  semantic segmentation  remote sensing identification   Application of Unmanned Aerial Vehicle Remote Sensing on Dangerous Rock Mass Identification and Deformation Analysis: Case Study of a High-Steep Slope in an Open Pit Mine 期刊论文  OAI收割 JOURNAL OF EARTH SCIENCE, 2025, 卷号: 36, 期号: 2, 页码: 750-763 作者:  Du, Wenjie;  Sheng, Qian;  Fu, Xiaodong;  Chen, Jian;  Kang, Jingyu   |  收藏  |  浏览/下载：10/0  |  提交时间：2025/06/27 high-steep slope  UAV remote sensing  dangerous rock identification  multi-temporal monitoring  multi-source data fusion  engineering geology   Rapid identification method for on-road high-emission vehicle based on deep semi-supervised anomaly detection 期刊论文  OAI收割 MEASUREMENT, 2025, 卷号: 239 作者:  Han, Lingran;  Zhang, Yujun;  He, Ying;  You, Kun;  Liu, Wenqing   |  收藏  |  浏览/下载：19/0  |  提交时间：2024/11/20 High-emission vehicle identification  Data fusion  Deep anomaly detection  Semi-supervised learning  The chassis and engine dynamometer testing  On-road remote sensing system   Spectral-spatial Classification of Hyperspectral Images Using Signal Subspace Identification and Edge-preserving Filter 期刊论文  OAI收割 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 222-232 作者:  Negin Alborzi;  Fereshteh Poorahangaryan;  Homayoun Beheshti   |  收藏  |  浏览/下载：29/0  |  提交时间：2021/02/22 Hyperspectral image  remote sensing  the hyperspectral signal subspace identification (HYSIME)  edge-preserving filter  classification  support vector machine.   Rapid identification of landslide, collapse and crack based on low-altitude remote sensing image of UAV 期刊论文  OAI收割 JOURNAL OF MOUNTAIN SCIENCE, 2020, 卷号: 17, 期号: 12, 页码: 2915-2928 作者:  Lian Xu-gang;  Li Zou-jun;  Yuan Hong-yan;  Liu Ji-bo;  Zhang Yan-jun   |  收藏  |  浏览/下载：18/0  |  提交时间：2023/02/17 UAV  Low altitude remote sensing image  Geological hazards  Identification method   An Improved Multi-temporal and Multi-feature Tea Plantation Identification Method Using Sentinel-2 Imagery 期刊论文  OAI收割 SENSORS, 2019, 卷号: 19, 期号: 9, 页码: 16 作者:  Zhu, Jun;  Pan, Ziwu;  Wang, Hang;  Huang, Peijie;  Sun, Jiulin   |  收藏  |  浏览/下载：92/0  |  提交时间：2019/09/24 remote sensing  Sentinel-2  tea plantation identification  Random Forest algorithm  feature selection  China   An Effective Method for Snow-Cover Mapping of Dense Coniferous Forests in the Upper Heihe River Basin Using Landsat Operational Land Imager Data 期刊论文  iSwitch采集 REMOTE SENSING, 2015, 卷号: 7, 期号: 12, 页码: 17246-17257 作者:  Wang, Xiao-Yan;  Wang, Jian;  Jiang, Zhi-Yong;  Li, Hong-Yi;  Hao, Xiao-Hua 收藏  |  浏览/下载：104/0  |  提交时间：2019/10/09 remote sensing  snow identification  forest  OLI   Super-Resolution Land Cover Mapping Based on Multiscale Spatial Regularization SCI/SSCI论文  OAI收割 2015 作者:  Hu J. L.;  Ge, Y.;  Chen, Y. H.;  Li, D. Y. 收藏  |  浏览/下载：34/0  |  提交时间：2015/12/09 Fraction images  heterogeneity  homogeneity  multiscale  regularization  remote sensing  spatial dependence  super-resolution mapping (SRM)  markov-random-field  remotely-sensed images  hopfield neural-network  model  identification  dependence  algorithm  map   Rice monitoring with polarimetric radarsat-2 data 会议论文  OAI收割 34th Asian Conference on Remote Sensing 2013, ACRS 2013,, Bali, Indonesia, October 20, 2013 - October 24,2013 Shao; Li, Kun; Liu, Long; Yang, Zhi 收藏  |  浏览/下载：29/0  |  提交时间：2014/12/07 Identification (control systems)  Polarimeters  Remote sensing  Synthetic aperture radar   Retrieval of snow depth in Northeast China using FY-3B/MWRI passive microwave remote sensing data (EI CONFERENCE) 会议论文  OAI收割 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：146/0  |  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.