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• OAI收割 [31]

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筛选

浏览/检索结果: 共31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 Fine-resolution estimation for urban surface water pollution susceptibility with multi-modal earth observation data 期刊论文  OAI收割 ENVIRONMENTAL RESEARCH LETTERS, 2024, 卷号: 19, 期号: 6, 页码: 9 作者:  Shao, Mengmeng;  Xie, Xiao;  E, Chao;  Li, Jingzhong;  Ren, Wanxia   |  收藏  |  浏览/下载：31/0  |  提交时间：2024/07/24 multi-modal earth observation data  very-high-resolution UAV image  deep learning  surface water pollution susceptibility  water quality   A Novel Two-Step Framework for Mapping Fraction of Mulched Film Based on Very-High-Resolution Satellite Observation and Deep Learning 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 14 作者:  Wei, Zhihao;  Cui, Yaokui;  Li, Sien;  Wang, Xuhui;  Dong, Jinwei   |  收藏  |  浏览/下载：12/0  |  提交时间：2024/07/24 Agricultural plastic mulch  deep learning  fraction of mulched film  remote sensing  very high resolution   CMT: Cross Mean Teacher Unsupervised Domain Adaptation for VHR Image Semantic Segmentation 期刊论文  OAI收割 IEEE Geoscience and Remote Sensing Letters, 2021, 卷号: 0, 期号: 0, 页码: 1-5 作者:  Liang Yan;  Bin Fan;  Shiming Xiang;  Chunhong Pan   |  收藏  |  浏览/下载：28/0  |  提交时间：2021/06/15 Cross mean teacher (CMT)  self-training (ST)  semantic segmentation  unsupervised domain adaptation (UDA)  very-high-resolution (VHR) image   Triplet Adversarial Domain Adaptation for Pixel-Level Classification of VHR Remote Sensing Images 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 5, 页码: 3558-3573 作者:  Yan, Liang;  Fan, Bin;  Liu, Hongmin;  Huo, Chunlei;  Xiang, Shiming   |  收藏  |  浏览/下载：48/0  |  提交时间：2020/06/22 Domain adaptation (DA)  pixel-level classification  self-training  triplet adversarial learning  very high resolution (VHR)   An Impartial Semi-Supervised Learning Strategy for Imbalanced Classification on VHR Images 期刊论文  OAI收割 SENSORS, 2020, 卷号: 20, 期号: 22 作者:  Sun, Fei;  Fang, Fang;  Wang, Run;  Wan, Bo;  Guo, Qinghua   |  收藏  |  浏览/下载：15/0  |  提交时间：2022/03/01 image classification  class imbalance  impartial semi-supervised learning strategy (ISS)  extreme gradient boosting (XGB)  very-high-resolution (VHR)   Efficiency of Extreme Gradient Boosting for Imbalanced Land Cover Classification Using an Extended Margin and Disagreement Performance 期刊论文  OAI收割 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 卷号: 8, 期号: 7 作者:  Sun, Fei;  Wang, Run;  Wan, Bo;  Su, Yanjun;  Guo, Qinghua   |  收藏  |  浏览/下载：43/0  |  提交时间：2022/01/06 gradient boosting trees  margin  class imbalance  very-high resolution (VHR) remote sensing  land cover classification  disagreement performance   A Mixed Property-Based Automatic Shadow Detection Approach for VHR Multispectral Remote Sensing Images 期刊论文  OAI收割 APPLIED SCIENCES-BASEL, 2018, 卷号: 8, 期号: 10, 页码: 28 作者:  Wen, Ming;  Lan, Taiji;  Li, Xiangzhi;  Huang, Liang;  Hu, Changhong   |  收藏  |  浏览/下载：46/0  |  提交时间：2019/08/26 invariant color space  multispectral images  shadow detection  shadow omission  threshold  vegetation misclassification  very high-resolution   Urban Change Detection Based on Dempster-Shafer Theory for Multitemporal Very High-Resolution Imagery 期刊论文  OAI收割 REMOTE SENSING, 2018, 卷号: 10, 期号: 7, 页码: 18 作者:  Luo, Hui;  Liu, Chong;  Wu, Chen;  Guo, Xian   |  收藏  |  浏览/下载：16/0  |  提交时间：2019/05/23 very high-resolution image  change detection  data fusion  D-S theory   Estimating aboveground biomass using Pleiades satellite image in a karst watershed of Guizhou Province, Southwestern China 期刊论文  OAI收割 Journal of Mountain Science, 2018, 卷号: 15, 期号: 5, 页码: 1020-1034 作者:  Yin-ming Guo;  Jian Ni;  Li-bin Liu;  Yang-yang Wu;  Chun-zi Guo;  Xin Xu;  Qiao-lian Zhong   |  收藏  |  浏览/下载：35/0  |  提交时间：2019/05/09 Aboveground Biomass  Secondary Karst Forest  Artificial Neural Network  Vegetation Indices  Very High Resolution Satellite Image   Estimating aboveground biomass using Pleiades satellite image in a karst watershed of Guizhou Province, Southwestern China 期刊论文  OAI收割 JOURNAL OF MOUNTAIN SCIENCE, 2018, 卷号: 15, 期号: 5, 页码: 1020-1034 作者:  Guo, YM;  Ni, J;  Liu, LB;  Wu, YY;  Guo, CZ   |  收藏  |  浏览/下载：17/0  |  提交时间：2020/09/29 Aboveground biomass  Secondary karst forest  Artificial neural network  Vegetation indices  Very high resolution satellite image