机构

• 地理科学与资源研究... [32]

采集方式

• OAI收割 [32]

内容类型

• 期刊论文 [32]

发表日期

• 2023 [4]
• 2022 [5]
• 2021 [8]
• 2020 [7]
• 2019 [7]
• 2017 [1]
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浏览/检索结果: 共32条，第1-10条 帮助 限定条件 专题：地理科学与资源研究所    第一署名单位    第一作者单位    通讯作者单位     条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 A multiscale feature fusion enhanced CNN with the multiscale channel attention mechanism for efficient landslide detection (MS2LandsNet) using medium-resolution remote sensing data 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2023, 卷号: 17, 期号: 1, 页码: 168988 作者:  Lu, Wei;  Hu, Yunfeng;  Shao, Wei;  Wang, Hao;  Zhang, Zuopei   |  收藏  |  浏览/下载：14/0  |  提交时间：2024/02/05 Landslide detection  multi-scale feature fusion  attention mechanism  convolutional neural network  remote sensing   Deep learning-based automated terrain classification using high-resolution DEM data 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2023, 卷号: 118, 页码: 103249 作者:  Yang, Jiaqi;  Xu, Jun;  Lv, Yunshuo;  Zhou, Chenghu;  Zhu, Yunqiang   |  收藏  |  浏览/下载：11/0  |  提交时间：2023/05/06 Landform classification  Semantic segmentation  Fully convolutional network  Residual network   CNN-TransNet: A Hybrid CNN-Transformer Network With Differential Feature Enhancement for Cloud Detection 期刊论文  OAI收割 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2023, 卷号: 20, 页码: 5 作者:  Ma, Nan;  Sun, Lin;  He, Yawen;  Zhou, Chenghu;  Dong, Chuanxiang   |  收藏  |  浏览/下载：5/0  |  提交时间：2023/10/09 Cloud detection  convolutional neural network (CNN)  differential feature  dual branch  transformer   Coastal Zone Extraction Algorithm Based on Multilayer Depth Features for Hyperspectral Images 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 15 作者:  Qiu, Shi;  Ye, Huping;  Liao, Xiaohan   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/11/29 Feature extraction  Hyperspectral imaging  Sea measurements  Convolutional neural networks  Three-dimensional displays  Remote sensing  Water quality  3-D convolutional neural network (CNN)  depth characteristic  hyperspectrum  multilevel  remote sensing  squeeze and excitation network (SENet)   Anisotropic Weighted Total Variation Feature Fusion Network for Remote Sensing Image Denoising 期刊论文  OAI收割 REMOTE SENSING, 2022, 卷号: 14, 期号: 24, 页码: 34 作者:  Qi, Huiqing;  Tan, Shengli;  Li, Zhichao   |  收藏  |  浏览/下载：8/0  |  提交时间：2023/02/06 remote sensing image  noise removal  weighted total variation  feature fusion  convolutional neural network   Anisotropic Weighted Total Variation Feature Fusion Network for Remote Sensing Image Denoising 期刊论文  OAI收割 REMOTE SENSING, 2022, 卷号: 14, 期号: 24, 页码: 34 作者:  Qi, Huiqing;  Tan, Shengli;  Li, Zhichao   |  收藏  |  浏览/下载：13/0  |  提交时间：2023/02/06 remote sensing image  noise removal  weighted total variation  feature fusion  convolutional neural network   A CNN-LSTM Model for Soil Organic Carbon Content Prediction with Long Time Series of MODIS-Based Phenological Variables 期刊论文  OAI收割 REMOTE SENSING, 2022, 卷号: 14, 期号: 18, 页码: 18 作者:  Zhang, Lei;  Cai, Yanyan;  Huang, Haili;  Li, Anqi;  Yang, Lin   |  收藏  |  浏览/下载：28/0  |  提交时间：2022/11/09 soil organic carbon  land surface phenology  deep learning  predictive mapping  convolutional neural network (CNN)  long short-term memory (LSTM)   Nation-scale reference evapotranspiration estimation by using deep learning and classical machine learning models in China 期刊论文  OAI收割 JOURNAL OF HYDROLOGY, 2022, 卷号: 604, 页码: 15 作者:  Dong, Juan;  Zhu, Yuanjun;  Jia, Xiaoxu;  Shao, Ming'an;  Han, Xiaoyang   |  收藏  |  浏览/下载：12/0  |  提交时间：2022/09/21 ET0  Convolutional neural network  Extreme learning machine  Multiple adaptive regression splines   Comparative Study of Convolutional Neural Network and Conventional Machine Learning Methods for Landslide Susceptibility Mapping 期刊论文  OAI收割 REMOTE SENSING, 2022, 卷号: 14, 期号: 2, 页码: 31 作者:  Liu, Rui;  Yang, Xin;  Xu, Chong;  Wei, Liangshuai;  Zeng, Xiangqiang   |  收藏  |  浏览/下载：8/0  |  提交时间：2022/09/21 landslide susceptibility mapping  convolutional neural network  machine learning  GIS  Jiuzhaigou region  Lantau Island   An Improved Deep Learning Approach for Retrieving Outfalls Into Rivers From UAS Imagery 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 页码: 14 作者:  Huang, Yaohuan;  Wu, Chengbin;  Yang, Haijun;  Zhu, Haitao;  Chen, Mingxing   |  收藏  |  浏览/下载：14/0  |  提交时间：2022/09/21 Rivers  Visualization  Remote sensing  Manuals  Inspection  Water resources  Task analysis  Deep learning  digital surface model (DSM)  faster region convolutional neural network (R-CNN)  outfalls into river  unmanned aircraft systems (UAS) imagery