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International Journal of Remote Sensing最新文献

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On the physical mechanism causing strongly enhanced radar backscatter in C-Band SAR images of convective rain over the ocean 关于造成海洋上空对流雨的 C 波段合成孔径雷达图像中雷达后向散射强烈增强的物理机制
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-05-31 DOI: 10.1080/01431161.2024.2354131
Werner Alpers, Wai Kong, Kan Zeng, Pak Wai Chan
{"title":"On the physical mechanism causing strongly enhanced radar backscatter in C-Band SAR images of convective rain over the ocean","authors":"Werner Alpers, Wai Kong, Kan Zeng, Pak Wai Chan","doi":"10.1080/01431161.2024.2354131","DOIUrl":"https://doi.org/10.1080/01431161.2024.2354131","url":null,"abstract":"Radar signatures of rain over the ocean have a complex structure since they receive contributions from surface scattering and volume scattering and attenuation by hydrometeors in the atmosphere. Th...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"35 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141529192","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
A new method of high-resolution NPP estimation and its implementation in caragana shrublands on the Loess Plateau, China 高分辨率净生产力估算新方法及其在中国黄土高原卡拉干达灌木林中的应用
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-05-08 DOI: 10.1080/01431161.2024.2346196
Feiyan Yu, Li Dai, Jiajing Tian, Xiaoning Xue, Mingjie Fang, Yuanming Xie, Zhaoxiang Guo, Bingqian Guo, Xiaofan Gan, Yang Cao, Weiguo Liu
{"title":"A new method of high-resolution NPP estimation and its implementation in caragana shrublands on the Loess Plateau, China","authors":"Feiyan Yu, Li Dai, Jiajing Tian, Xiaoning Xue, Mingjie Fang, Yuanming Xie, Zhaoxiang Guo, Bingqian Guo, Xiaofan Gan, Yang Cao, Weiguo Liu","doi":"10.1080/01431161.2024.2346196","DOIUrl":"https://doi.org/10.1080/01431161.2024.2346196","url":null,"abstract":"Accurate estimation for vegetation net primary production (NPP) at high resolution is essential for ecosystem management and at local to global scales. However, no reliable methods are available to...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"9 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140934058","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
Canopy active fuel loads estimation with C-band PolSAR by combining polarization decomposition and vegetation scattering model: a case study in Southwestern China 结合偏振分解和植被散射模型，利用 C 波段 PolSAR 估算冠层活性燃料负荷：中国西南地区的案例研究
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-05-08 DOI: 10.1080/01431161.2024.2347524
Yanxi Li, Binbin He
{"title":"Canopy active fuel loads estimation with C-band PolSAR by combining polarization decomposition and vegetation scattering model: a case study in Southwestern China","authors":"Yanxi Li, Binbin He","doi":"10.1080/01431161.2024.2347524","DOIUrl":"https://doi.org/10.1080/01431161.2024.2347524","url":null,"abstract":"The forest canopy active fuel load (CAFL) is easily flammable that is usually consumed in the flaming front, and is a critical factor in crown fire early prediction, suppression and response. Previ...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"149 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140887238","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
Hyperspectral anomaly detection based on adaptive background dictionary construction and collaborative representation 基于自适应背景字典构建和协作表示的高光谱异常检测
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-05-07 DOI: 10.1080/01431161.2024.2343431
Mingming Xu, Jinhao Zhang, Shanwei Liu, Hui Sheng
{"title":"Hyperspectral anomaly detection based on adaptive background dictionary construction and collaborative representation","authors":"Mingming Xu, Jinhao Zhang, Shanwei Liu, Hui Sheng","doi":"10.1080/01431161.2024.2343431","DOIUrl":"https://doi.org/10.1080/01431161.2024.2343431","url":null,"abstract":"Collaborative representation-based (CR) methods have received widespread attention in hyperspectral anomaly detection, but the results are greatly affected by the quality of the background dictiona...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"18 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140887307","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
Scene-aware data augmentation for ship detection in SAR images 用于 SAR 图像中船舶探测的场景感知数据增强技术
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-05-07 DOI: 10.1080/01431161.2024.2343433
Yu Tang, Shigang Wang, Jian Wei, Yan Zhao, Jiehua Lin, Jiaqi Yu, Dongliang Li
{"title":"Scene-aware data augmentation for ship detection in SAR images","authors":"Yu Tang, Shigang Wang, Jian Wei, Yan Zhao, Jiehua Lin, Jiaqi Yu, Dongliang Li","doi":"10.1080/01431161.2024.2343433","DOIUrl":"https://doi.org/10.1080/01431161.2024.2343433","url":null,"abstract":"Ship detection in synthetic aperture radar (SAR) images is widely applied in marine monitoring. In recent years, convolutional neural networks (CNNs) have made significant advances in SAR ship dete...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"448 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140887236","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
Pre- and post-fire forest canopy height mapping in Southeast Australia through the integration of multi-temporal GEDI data, satellite images, and Convolution Neural Network 通过整合多时 GEDI 数据、卫星图像和卷积神经网络，绘制澳大利亚东南部火灾前后的林冠高度图
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-05-07 DOI: 10.1080/01431161.2024.2343429
Tsung-Chi Chou, Xuan Zhu, Ruth Reef
{"title":"Pre- and post-fire forest canopy height mapping in Southeast Australia through the integration of multi-temporal GEDI data, satellite images, and Convolution Neural Network","authors":"Tsung-Chi Chou, Xuan Zhu, Ruth Reef","doi":"10.1080/01431161.2024.2343429","DOIUrl":"https://doi.org/10.1080/01431161.2024.2343429","url":null,"abstract":"This study leveraged Convolutional Neural Network (CNN) models to estimate canopy height in Southeast Australian forests before and after the 2019–2020 bushfire event, using inputs from Sentinel-1,...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"30 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140887161","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-sensor transfer learning for fire smoke scene detection using variable-bands multi-spectral satellite imagery aided by spectral patterns 利用光谱模式辅助变波段多光谱卫星图像进行火灾烟雾场景探测的跨传感器迁移学习
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-05-07 DOI: 10.1080/01431161.2024.2343430
Liang Zhao, Jixue Liu, Stefan Peters, Jiuyong Li, Norman Mueller, Simon Oliver
{"title":"Cross-sensor transfer learning for fire smoke scene detection using variable-bands multi-spectral satellite imagery aided by spectral patterns","authors":"Liang Zhao, Jixue Liu, Stefan Peters, Jiuyong Li, Norman Mueller, Simon Oliver","doi":"10.1080/01431161.2024.2343430","DOIUrl":"https://doi.org/10.1080/01431161.2024.2343430","url":null,"abstract":"This paper addresses the challenge of training deep learning models for fire smoke scene detection from multi-sensor, multi-spectral satellite imagery, where spectral bands vary and training data i...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"103 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140887493","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
SRMA: a dual-branch parallel multi-scale attention network for remote sensing images sea-land segmentation SRMA：用于遥感图像海陆分割的双分支并行多尺度注意力网络
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-05-07 DOI: 10.1080/01431161.2024.2343432
Ye Zhu, Bo Wang, Qi Liu, Shihan Tan, Shengjie Wang, Wenyi Ge
{"title":"SRMA: a dual-branch parallel multi-scale attention network for remote sensing images sea-land segmentation","authors":"Ye Zhu, Bo Wang, Qi Liu, Shihan Tan, Shengjie Wang, Wenyi Ge","doi":"10.1080/01431161.2024.2343432","DOIUrl":"https://doi.org/10.1080/01431161.2024.2343432","url":null,"abstract":"The use of deep learning-based high resolution remote sensing image sea and land segmentation method has become prevalent in various fields such as environmental monitoring, resource assessment, an...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"48 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140934059","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
DEDU-Net: Dual-Encoder-Decoder-U-Net for road extraction from high-resolution remote sensing images DEDU-Net：用于从高分辨率遥感图像中提取道路的双编码器-解码器-U-网络
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-05-03 DOI: 10.1080/01431161.2024.2343138
Tong Ding, Xiaofei Wang
{"title":"DEDU-Net: Dual-Encoder-Decoder-U-Net for road extraction from high-resolution remote sensing images","authors":"Tong Ding, Xiaofei Wang","doi":"10.1080/01431161.2024.2343138","DOIUrl":"https://doi.org/10.1080/01431161.2024.2343138","url":null,"abstract":"The development of the modern urban economy is closely tied to road construction, with roads being one of the most crucial components in urban development. The use of high-resolution remote sensing...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"38 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140887160","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
Transformer based ensemble deep learning approach for remote sensing natural scene classification 基于变压器的遥感自然场景分类集合深度学习方法
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-05-03 DOI: 10.1080/01431161.2024.2343141
Arrun Sivasubramanian, Prashanth VR, Sowmya V, Vinayakumar Ravi
{"title":"Transformer based ensemble deep learning approach for remote sensing natural scene classification","authors":"Arrun Sivasubramanian, Prashanth VR, Sowmya V, Vinayakumar Ravi","doi":"10.1080/01431161.2024.2343141","DOIUrl":"https://doi.org/10.1080/01431161.2024.2343141","url":null,"abstract":"Very high resolution (VHR) remote sensing (RS) image classification is paramount for detailed Earth’s surface analysis. Feature extraction from VHR natural scenes is crucial, but it becomes a chall...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"3 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140887115","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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