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Ship Detection in Visible Remote Sensing Image Based on Saliency Extraction and Modified Channel Features 期刊论文
Remote Sensing, 2022, 卷号: 14, 期号: 14, 页码: 28
作者:  Y. Tian;  J. H. Liu;  S. J. Zhu;  F. Xu;  G. B. Bai and C. L. Liu
浏览  |  Adobe PDF(10291Kb)  |  收藏  |  浏览/下载：83/33  |  提交时间：2023/06/14
Remote Sensing Image Denoising Based on Deep and Shallow Feature Fusion and Attention Mechanism 期刊论文
Remote Sensing, 2022, 卷号: 14, 期号: 5, 页码: 23
作者:  L. T. Han;  Y. C. Zhao;  H. Y. Lv;  Y. S. Zhang;  H. L. Liu and G. L. Bi
浏览  |  Adobe PDF(8015Kb)  |  收藏  |  浏览/下载：238/171  |  提交时间：2023/06/14
Deep Learning-Based Object Detection Techniques for Remote Sensing Images: A Survey 期刊论文
Remote Sensing, 2022, 卷号: 14, 期号: 10, 页码: 41
作者:  Z. Li;  Y. C. Wang;  N. Zhang;  Y. X. Zhang;  Z. K. Zhao;  D. D. Xu;  G. L. Ben and Y. X. Gao
浏览  |  Adobe PDF(5226Kb)  |  收藏  |  浏览/下载：34/13  |  提交时间：2023/06/14
An Instance Segmentation Based Framework for Large-Sized High-Resolution Remote Sensing Images Registration 期刊论文
Remote Sensing, 2021, 卷号: 13, 期号: 9, 页码: 21
作者:  J. Y. Lu;  H. G. Jia;  T. Li;  Z. Q. Li;  J. Y. Ma and R. F. Zhu
浏览  |  Adobe PDF(48050Kb)  |  收藏  |  浏览/下载：101/32  |  提交时间：2022/06/13
Intelligent Ship Detection in Remote Sensing Images Based on Multi-Layer Convolutional Feature Fusion 期刊论文
Remote Sensing, 2020, 卷号: 12, 期号: 20, 页码: 30
作者:  Y. L. Zhang,L. H. Guo,Z. F. Wang,Y. Yu,X. W. Liu and F. Xu
浏览  |  Adobe PDF(10750Kb)  |  收藏  |  浏览/下载：92/34  |  提交时间：2021/07/06
Improving Field-Scale Wheat LAI Retrieval Based on UAV Remote-Sensing Observations and Optimized VI-LUTs 期刊论文
Remote Sensing, 2019, 卷号: 11, 期号: 20, 页码: 22
作者:  W.X.Zhu;  Z.G.Sun;  Y.H.Huang;  J.B.Lai;  J.Li;  J.Q.Zhang;  B.Yang;  B.B.Li
浏览  |  Adobe PDF(4669Kb)  |  收藏  |  浏览/下载：365/266  |  提交时间：2020/08/24
leaf area index,unmanned aerial vehicle,vegetation indices,multispectral camera,hyperspectral camera,precision agriculture,leaf-area index,hyperspectral vegetation indexes,canopy chlorophyll,Content,,radiative-transfer model,inversion,prosail,corn,forests,potato,images,Remote Sensing