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A Novel Change Detection Approach for Multi-Temporal High-Resolution Remote Sensing Images Based on Rotation Forest and Coarse-to-Fine Uncertainty Analyses

机译：基于旋转林和粗致细不确定性分析的多时间高分辨率遥感图像的一种新型改变检测方法

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Wenqing Feng; Haigang Sui; Jihui Tu; Weiming Huang; Chuan Xu; Kaimin Sun;
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1. A novel change detection approach based on visual saliency and random forest from multi-temporal high-resolution remote-sensing images [J] . Feng Wenqing, Sui Haigang, Tu Jihui, International journal of remote sensing . 2018,第21a22期

机译：一种基于视觉显着性和随机森林的多时相高分辨率遥感影像变化检测新方法
2. Object-based change detection of very high-resolution remote sensing images incorporating multiscale uncertainty analysis by fusing pixel-based change detection [J] . Cao Jian Nong, Liao Juan, Zhang Bao Jin, Journal of electronic imaging . 2021,第5期

机译：基于对象的变化检测通过融合基于像素的变化检测，包括多尺度不确定性分析的非常高分辨率遥感图像
3. Separate segmentation of multi-temporal high-resolution remote sensing images for object-based change detection in urban area [J] . Zhang Xueliang, Xiao Pengfeng, Feng Xuezhi, Remote Sensing of Environment: An Interdisciplinary Journal . 2017,第期

机译：城市地区对象的变化检测多时间高分辨率遥感图像的单独分割
4. An Object-Based Approach for Forest-Cover Change Detection using Multi-Temporal High-Resolution Remote Sensing Data [C] . International Conference on Environmental Science and Information Application Technology . 2009

机译：一种基于对象的森林覆盖变化检测方法，使用多时间高分辨率遥感数据
5. Mapping forest changes using multi-temporal remote sensing images: BITE for accurate trajectory extraction and CBEST for efficient clustering. [D] . Chen, Yanlei. 2014

机译：使用多时相遥感影像绘制森林变化图：BITE用于精确的轨迹提取，CBEST用于有效的聚类。
6. A Novel Method of Aircraft Detection Based on High-Resolution Panchromatic Optical Remote Sensing Images [O] . Wensheng Wang, Ting Nie, Tianjiao Fu, 2017

机译：基于高分辨率全色光学遥感图像的飞机检测新方法
7. Unsupervised Change Detection from Remotely Sensed Images Based on Multi-Scale Visual Saliency Coarse-to-Fine Fusion [O] . Pengfei He, Xiangwei Zhao, Yuli Shi, 2021

机译：根据多尺度视力粗融合的基于多尺度视力粗细融合，从远程感测图像中的无监督变化检测

A Novel Change Detection Approach for Multi-Temporal High-Resolution Remote Sensing Images Based on Rotation Forest and Coarse-to-Fine Uncertainty Analyses

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