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Canadian Journal of Remote Sensing

IF2.1
论文数27
被引数
期刊论文 27
发表时间
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Self-Supervised Deep Learning for Urban Land Cover Classification from Very High Resolution Imagery
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deleteRoy, Kaushik; Homayouni, Saeid; Zhang, Ying
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Urban green space extraction from BJ-2 remote sensing image based SegFormer semantic segmentation model (vol 51,2439835 ,2025)基于SegFormer语义分割模型的BJ-2遥感影像城市绿地提取 (vol 51,2439835 ,2025)
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deleteGuo, Yan; Shao, QuanSen; Liu, FuJiang; Lin, Weihua; Wang, Mianzhi; Li, Zhuowu; Chen, Shuo; Liu, Hongchen; Su, Junshen; Wang, Xianbin
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Automated Semantic Segmentation of Arctic Surface Water Features with Very-High Resolution Satellite X-Band Radar Imagery and U-Net Deep Learning基于超高分辨率卫星X波段雷达图像和U-Net深度学习的北极地表水体特征自动化语义分割
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deleteMerchant, Michael Allan; Mahdianpari, Masoud; Bourgeau-Chavez, Laura; DeVries, Ben; Berg, Aaron
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UBR-Net: Road Extraction from High-Resolution Remote Sensing Imagery Using Multi-Scale Attention and Cross-Residual EncodingUBR-Net：基于多尺度注意力和跨残差编码的高分辨率遥感影像道路提取
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deleteYang, Jingyu; Ahmed, Yousef Ameen Esmail; Lv, Panjie; Zhang, Wenchi; An, Yahui
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Comparison between Two New Ground-Based Remote Sensing Techniques for Rock Mass Characterization两种新型地面遥感技术用于岩体特性表征的比较
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deleteFatolahzadeh, Sina; Sepulveda, Sergio A.
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Projected Future Changes in Burn Probability in Canada's Forests and Communities Under Different Climate Change Scenarios在加拿大森林和社区中，不同气候变化情景下燃烧概率的未来预测变化
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deleteMulverhill, Christopher; Coops, Nicholas C.; Wulder, Michael A.; Hermosilla, Txomin; White, Joanne C.; Bater, Christopher W.
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Efficient First Floor Height Estimation of Buildings from Sequential Images and Airborne LiDAR for Flood Risk Analysis基于序列图像和机载LiDAR的高效建筑首层高度估算方法，用于洪水风险评估
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deleteReid, Andrea; Mcgrath, Heather; Jabari, Shabnam
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Evaluating landsat time series of above-ground biomass to monitor boreal forest recovery following different types of disturbance评估Landsat时序地上生物量以监测不同类型干扰后的 boreal forest 恢复
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deletePerbet, Pauline; Guindon, Luc; Cote, Jean-Francois; Beland, Martin
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Using Landsat time-series to investigate nearly 50 years of tree canopy cover change across an urban-rural landscape in southern Ontario利用Landsat时间序列数据研究安大略省南部城乡景观近50年树冠覆盖度的变化
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deleteBonney, Mitchell T.; He, Yuhong
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Machine learning approaches to landsat change detection analysisRichardson, G.; Knudby, A.; Crowley, M.A.; Sawada, M.; Chen, W. 机器学习方法在Landsat变化检测分析中的应用。Can. J. Remote Sens. 2025, 51, 2448169. [Google Scholar] [CrossRef]
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deleteRichardson, Galen; Knudby, Anders; Crowley, Morgan A.; Sawada, Michael; Chen, Wenjun
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Synthetic Aperture Radar as a Tool for Tornado Classification in Forested Areas合成孔径雷达作为森林地区龙卷风分类的工具
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deleteSlabon, Sophia G.; Neish, Catherine D.; Miller, Connell S.
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MSDANet: A Multiscale Dual-Channel Spatial Attention Network with Depthwise Separable Convolution for Hyperspectral Image ClassificationMSDANet：一种用于高光谱图像分类的多尺度双通道空间注意力网络，该网络采用深度可分离卷积。
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deleteLiao, Jianshang; Wang, Liguo
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Estimation of Forest Structure and Fuel Change Across Mountain Pine Beetle - Attacked Forests Using Mobile and RPAS - Based LiDAR利用车载与无人机载LiDAR对山松大小蠹危害林区的森林结构与可燃物变化进行估算
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deleteGerbrecht, Evan C.; Coops, Nicholas C.; Carroll, Allan L.; Bater, Christopher W.; Buechner, Leonard
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Challenges and Limitations in Comparing Satellite Microwave Vegetation Optical Depth (VOD) Against in-Situ Tree Hydraulics in the Canadian Boreal Forest与加拿大针叶林中现场树木水力学相比，卫星微波植被光学厚度（VOD）的挑战与局限性
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deleteGorrab, Azza; Sonnentag, Oliver; Mialon, Arnaud; Hadiwijaya, Bram; Roy, Camille; Berg, Aaron; Ortet, Juliette; Umair, Muhammad; Roy, Alexandre
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Reconstructing Historical Landsat Time Series Using a Transformer-Based Deep Learning Approach: A Case Study in the Canadian Prairies Region基于Transformer深度学习方法的Landsat历史时间序列重建：加拿大草原地区案例研究
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deleteBabadi Ataabadi, Masoud; Pouliot, Darren; Chen, Dongmei; Oluwadare, Temitope Seun
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Greenhouse Mapping and Crop Type Classification for Small-Scale Farms Using Airborne Laser Scanning基于机载激光扫描的小规模农场温室制图与作物类型分类
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deleteLee, Chung-Cheng; Wang, Chi-Kuei; Guo, Horng-Yuh; Liu, Tsang-Sen; Zhang, Yi-Ting; Yang, Hsin-Ju
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TDBOSegNet: A Semantic Segmentation Model for Typical Disaster-Bearing Objects in UAV Images of Flood DisastersTDBOSegNet：一种用于洪涝灾害无人机图像中典型承灾体语义分割的模型
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deleteSui, Yanwei; Shan, Weifeng; Wang, Maofa; Yang, Yu; Wang, Mengyu
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A Study of Selected Constant False Alarm Rate (CFAR) Detectors for Vessels with Compact and Dual Polarimetric Synthetic Aperture Radar (SAR)
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deleteRashid, Mamoon; Gierull, Christoph; Rajan, Sreeraman
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Predicting Forest Age up to 250 Years in Old-Growth Boreal Mixedwoods of Western Quebec, Canada, Using Airborne Laser Scanning Data and Modelled Tree Species Composition使用机载激光扫描数据和模拟的树种组成，预测加拿大西部魁北克省老龄北方混交林中高达250年的森林年龄。
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deleteRafieijahed, Razieh; Eslamdoust, Jamshid; Martin, Maxence
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Predicting fodder crop yield in semi-arid Mongolia using Landsat data: a multivariate analysis approach利用Landsat数据预测半干旱蒙古地区饲料作物产量：一种多变量分析方法
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deleteDamdin, Byambasuren; Lantuu, Uranbileg; Avirmed, Buyanbaatar; Bayaraa, Batbileg; Natsagdorj, Enkhjargal
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