机构

• 地理科学与资源研究... [82]
• 西安光学精密机械研究... [4]
• 成都山地灾害与环境研... [1]
• 自动化研究所 [1]

采集方式

• OAI收割 [88]

内容类型

• 期刊论文 [88]

发表日期

• 2024 [7]
• 2023 [10]
• 2022 [14]
• 2021 [3]
• 2020 [20]
• 2019 [17]
• 更多

学科主题

• Environmen... [1]
• Geology [1]
• Imaging Sc... [1]
• Remote Sen... [1]

筛选

浏览/检索结果: 共88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 Linking Vegetation Phenology to Net Ecosystem Productivity: Climate Change Impacts in the Northern Hemisphere Using Satellite Data 期刊论文  OAI收割 REMOTE SENSING, 2024, 卷号: 16, 期号: 21, 页码: 4101 作者:  Yin, Hanmin;  Ma, Xiaofei;  Liao, Xiaohan;  Ye, Huping;  Yu, Wentao   |  收藏  |  浏览/下载：7/0  |  提交时间：2024/12/20 vegetation phenology  net ecosystem productivity  climate change  Northern Hemisphere   Multinetwork Algorithm for Coastal Line Segmentation in Remote Sensing Images 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 4208312 作者:  Li, Xuemei;  Wang, Xing;  Ye, Huping;  Qiu, Shi;  Liao, Xiaohan   |  收藏  |  浏览/下载：115/0  |  提交时间：2024/09/19 Sea measurements  Image segmentation  Feature extraction  Remote sensing  Transformers  Training  Generators  Coastal line  generative adversarial network (GAN)  remote sensing  segmentation  transformer  Unet   A Multi-Level Adaptive Lightweight Net for Damaged Road Marking Detection Based on Knowledge Distillation 期刊论文  OAI收割 REMOTE SENSING, 2024, 卷号: 16, 期号: 14, 页码: 2593 作者:  Wang, Junwei;  Zeng, Xiangqiang;  Wang, Yong;  Ren, Xiang;  Wang, Dongliang   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/09/19 remote sensing  damaged road marking  semantic segmentation  deep learning  knowledge distillation   M-SKSNet: Multi-Scale Spatial Kernel Selection for Image Segmentation of Damaged Road Markings 期刊论文  OAI收割 REMOTE SENSING, 2024, 卷号: 16, 期号: 9, 页码: 1476 作者:  Wang, Junwei;  Liao, Xiaohan;  Wang, Yong;  Zeng, Xiangqiang;  Ren, Xiang   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/06/17 remote sensing  damaged road marking  semantic segmentation  deep learning   Refined Analysis of Vegetation Phenology Changes and Driving Forces in High Latitude Altitude Regions of the Northern Hemisphere: Insights from High Temporal Resolution MODIS Products 期刊论文  OAI收割 REMOTE SENSING, 2024, 卷号: 16, 期号: 10, 页码: 1744 作者:  Yin, Hanmin   |  收藏  |  浏览/下载：15/0  |  提交时间：2024/07/12 vegetation phenology  threshold determination  global greening  Northern Hemisphere   Multilevel-based algorithm for hyperspectral image interpretation 期刊论文  OAI收割 COMPUTERS & ELECTRICAL ENGINEERING, 2024, 卷号: 113, 页码: 109033 作者:  Qiu, Shi;  Ye, Huping;  Liao, Xiaohan;  Zhang, Benyue;  Zhang, Miao   |  收藏  |  浏览/下载：18/0  |  提交时间：2024/01/04 Hyperspectrum  Interpretation  Attention  Feature association  Semantic   Multilevel-based algorithm for hyperspectral image interpretation 期刊论文  OAI收割 Computers and Electrical Engineering, 2024, 卷号: 113 作者:  Qiu, Shi;  Ye, Huping;  Liao, Xiaohan;  Zhang, Benyue;  Zhang, Miao   |  收藏  |  浏览/下载：15/0  |  提交时间：2024/01/03 Hyperspectrum  Interpretation  Attention  Feature association  Semantic   Precise aboveground biomass estimation of plantation forest trees using the novel allometric model and UAV-borne LiDAR 期刊论文  OAI收割 FRONTIERS IN FORESTS AND GLOBAL CHANGE, 2023, 卷号: 6, 页码: 15 作者:  Lin, Jiayuan;  Chen, Decao;  Yang, Shuai;  Liao, Xiaohan   |  收藏  |  浏览/下载：21/0  |  提交时间：2023/11/29 plantation forest  aboveground biomass (AGB)  UAV-borne LiDAR  allometric model  trunk height  crown area   Accurate estimation of surface water volume in tufa lake group using UAV-captured imagery and ANNs 期刊论文  OAI收割 MEASUREMENT, 2023, 卷号: 220, 页码: 10 作者:     |  收藏  |  浏览/下载：18/0  |  提交时间：2023/10/09 Tufa lake group  Surface water volume  Unmanned aerial vehicle (UAV)  Bathymetry  Artificial neural network (ANN)   Large-scale automatic extraction of agricultural greenhouses based on high-resolution remote sensing and deep learning technologies 期刊论文  OAI收割 ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 卷号: 30, 期号: 48, 页码: 106671-106686 作者:  Chen, Wei;  Li, Jiajia;  Wang, Dongliang;  Xu, Yameng;  Liao, Xiaohan   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/02/18 Facility agriculture  Agricultural greenhouses  Automatic extraction  Remote sensing  Deep learning