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International Journal of Remote Sensing最新文献

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Study on winter wheat leaf area index inversion employing the PSO-NN-PROSAIL model 采用 PSO-NN-PROSAIL 模型的冬小麦叶面积指数反演研究
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-04-22 DOI: 10.1080/01431161.2024.2339200
Zhong Gao, Xiaoping Lu, Xiaoxuan Wang, Zenan Yang, Ruyi Wang
{"title":"Study on winter wheat leaf area index inversion employing the PSO-NN-PROSAIL model","authors":"Zhong Gao, Xiaoping Lu, Xiaoxuan Wang, Zenan Yang, Ruyi Wang","doi":"10.1080/01431161.2024.2339200","DOIUrl":"https://doi.org/10.1080/01431161.2024.2339200","url":null,"abstract":"Leaf area index (LAI) assessment methods relying on physical and empirical models are considered to be the most commonly used method at present, but their estimation efficiency and accuracy are def...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"136 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140635315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Insects as radar targets: size, form, density and permittivity 作为雷达目标的昆虫：大小、形态、密度和介电常数
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-04-18 DOI: 10.1080/01431161.2024.2339203
V. Alistair Drake, Djordje Mirkovic, Martin J. Steinbauer
{"title":"Insects as radar targets: size, form, density and permittivity","authors":"V. Alistair Drake, Djordje Mirkovic, Martin J. Steinbauer","doi":"10.1080/01431161.2024.2339203","DOIUrl":"https://doi.org/10.1080/01431161.2024.2339203","url":null,"abstract":"To make biologically useful interpretations of the echo signals from an entomological radar (a radar designed and operated to observe insects in flight), it is necessary to relate basic properties ...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"49 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140613849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multispectral and hyperspectral images fusion based on subspace representation and nonlocal low-rank regularization 基于子空间表示和非局部低秩正则化的多光谱和高光谱图像融合
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-04-18 DOI: 10.1080/01431161.2024.2339202
Yiguo Yang, Dan Li, Yanyan Lv, Fanqiang Kong, Qiang Wang
{"title":"Multispectral and hyperspectral images fusion based on subspace representation and nonlocal low-rank regularization","authors":"Yiguo Yang, Dan Li, Yanyan Lv, Fanqiang Kong, Qiang Wang","doi":"10.1080/01431161.2024.2339202","DOIUrl":"https://doi.org/10.1080/01431161.2024.2339202","url":null,"abstract":"Multispectral image (MSI) and hyperspectral image (HSI) fusion is a popular method for HSI super-resolution reconstruction (HSI-SR). MSI-HSI fusion problem is ill-posed and demands several image pr...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"55 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140613788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optimal combinations of global evapotranspiration and terrestrial water storage products for catchment water balance 集水区水量平衡中全球蒸散和陆地蓄水产品的最佳组合
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-04-17 DOI: 10.1080/01431161.2024.2339198
Sanghyun Yoo, Seokhyeon Kim, Kyungrock Paik
{"title":"Optimal combinations of global evapotranspiration and terrestrial water storage products for catchment water balance","authors":"Sanghyun Yoo, Seokhyeon Kim, Kyungrock Paik","doi":"10.1080/01431161.2024.2339198","DOIUrl":"https://doi.org/10.1080/01431161.2024.2339198","url":null,"abstract":"During the last two decades, a great number of global products about evapotranspiration (E) and terrestrial water storage (S) have been released. This has led to numerous combinations for describin...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"55 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140613817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Cross-level and multiscale CNN-Transformer network for automatic building extraction from remote sensing imagery 用于从遥感图像中自动提取建筑物的跨级别和多尺度 CNN-Transformer 网络
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-04-17 DOI: 10.1080/01431161.2024.2339199
Qinglie Yuan, Bin Xia
{"title":"Cross-level and multiscale CNN-Transformer network for automatic building extraction from remote sensing imagery","authors":"Qinglie Yuan, Bin Xia","doi":"10.1080/01431161.2024.2339199","DOIUrl":"https://doi.org/10.1080/01431161.2024.2339199","url":null,"abstract":"Automatic building detection from remote sensing images holds significant applications in various domains, including cartography, land-use change detection, urban planning, and 3D intelligent city ...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"55 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140613783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Mind the gaps: horizontal canopy structure affects the relationship between taxonomic and spectral diversity 注意缝隙：水平冠层结构影响分类和光谱多样性之间的关系
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-04-17 DOI: 10.1080/01431161.2024.2334776
Valentina Olmo, Giovanni Bacaro, Maurizia Sigura, Giorgio Alberti, Miris Castello, Duccio Rocchini, Francesco Petruzzellis
{"title":"Mind the gaps: horizontal canopy structure affects the relationship between taxonomic and spectral diversity","authors":"Valentina Olmo, Giovanni Bacaro, Maurizia Sigura, Giorgio Alberti, Miris Castello, Duccio Rocchini, Francesco Petruzzellis","doi":"10.1080/01431161.2024.2334776","DOIUrl":"https://doi.org/10.1080/01431161.2024.2334776","url":null,"abstract":"Spectral diversity (SD) in reflectance can be used to estimate plant taxonomic diversity (TD) according to the Spectral Variation Hypothesis (SVH). However, contrasting relationships between SD and...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"19 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140613824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Application and comparison of remote sensing techniques for data-driven disaster debris quantification 遥感技术在数据驱动的灾害废墟量化中的应用与比较
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-04-11 DOI: 10.1080/01431161.2024.2339197
Jasmine H. Bekkaye, Navid H. Jafari
{"title":"Application and comparison of remote sensing techniques for data-driven disaster debris quantification","authors":"Jasmine H. Bekkaye, Navid H. Jafari","doi":"10.1080/01431161.2024.2339197","DOIUrl":"https://doi.org/10.1080/01431161.2024.2339197","url":null,"abstract":"Effective disaster debris management requires reasonable predictions pre-hazard and estimates post-hazard of debris for a community to get back to normal sooner. However, there is a lack of data re...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"43 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140588598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Mapping large-scale pine wilt disease trees with a lightweight deep-learning model and very high-resolution UAV images 利用轻量级深度学习模型和超高分辨率无人机图像绘制大面积松树枯萎病病树分布图
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-04-11 DOI: 10.1080/01431161.2024.2339192
Zhipan Wang, Su Xu, Xinyan Li, Mingxiang Cai, Xiang Liao
{"title":"Mapping large-scale pine wilt disease trees with a lightweight deep-learning model and very high-resolution UAV images","authors":"Zhipan Wang, Su Xu, Xinyan Li, Mingxiang Cai, Xiang Liao","doi":"10.1080/01431161.2024.2339192","DOIUrl":"https://doi.org/10.1080/01431161.2024.2339192","url":null,"abstract":"Pine wilt disease (PWD), caused by pine wood nematodes, has brought a great loss in ecology and economy all over the world. In China, the forest health status is also significantly affected by PWD ...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"44 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140588091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Semantic segmentation for multisource remote sensing images incorporating feature slice reconstruction and attention upsampling 结合特征切片重构和注意力上采样的多源遥感图像语义分割技术
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-04-10 DOI: 10.1080/01431161.2024.2338232
FengKai Lang, Ming Zhang, JinQi Zhao, NanShan Zheng, Hongtao Shi
{"title":"Semantic segmentation for multisource remote sensing images incorporating feature slice reconstruction and attention upsampling","authors":"FengKai Lang, Ming Zhang, JinQi Zhao, NanShan Zheng, Hongtao Shi","doi":"10.1080/01431161.2024.2338232","DOIUrl":"https://doi.org/10.1080/01431161.2024.2338232","url":null,"abstract":"Multisource remote sensing images have rich features and high interpretability and are widely employed in many applications. However, highly unbalanced category distributions and complex background...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"59 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140588095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An interactive method for bridging the gap between deep learning based building contour segmentation and manual annotation 弥合基于深度学习的建筑轮廓分割与人工标注之间差距的互动方法
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-04-10 DOI: 10.1080/01431161.2024.2337612
Yu Tian, Muying Luo, Shaoyi Wang, Shunping Ji
{"title":"An interactive method for bridging the gap between deep learning based building contour segmentation and manual annotation","authors":"Yu Tian, Muying Luo, Shaoyi Wang, Shunping Ji","doi":"10.1080/01431161.2024.2337612","DOIUrl":"https://doi.org/10.1080/01431161.2024.2337612","url":null,"abstract":"Although the emergence of deep learning has improved the performance of automatic building extraction, there is still a long way to go before it can completely replace the labour-intensive manual d...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"39 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140588570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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