发布求助
文献互助 智能选刊 最新文献

International Journal of Remote Sensing最新文献

筛选
英文 中文
A low-profile ultra-wideband magneto-electric dipole antenna for ground penetrating radar 用于地面穿透雷达的低剖面超宽带磁电偶极子天线
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-08-02 DOI: 10.1080/01431161.2024.2380545
Li Wang, Xiue Bao, Xiaochao Tian, Giovanni Crupi, Liming Si, Houjun Sun, Zhensheng Shi, Anxue Zhang
{"title":"A low-profile ultra-wideband magneto-electric dipole antenna for ground penetrating radar","authors":"Li Wang, Xiue Bao, Xiaochao Tian, Giovanni Crupi, Liming Si, Houjun Sun, Zhensheng Shi, Anxue Zhang","doi":"10.1080/01431161.2024.2380545","DOIUrl":"https://doi.org/10.1080/01431161.2024.2380545","url":null,"abstract":"Ultra-wideband antennas that operate at low frequencies usually have a large geometry, which makes them very limited in practical engineering application environment where space is often constraine...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"26 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141944729","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 to extract coal-covered area in open-pit mine based on remote sensing 基于遥感技术的露天煤矿煤炭覆盖面积提取新方法
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-08-02 DOI: 10.1080/01431161.2024.2382846
Xin He, Fei Zhang, Chi Yung Jim, Ngai Weng Chan, Mou Leong Tan, Jingchao Shi
{"title":"A new method to extract coal-covered area in open-pit mine based on remote sensing","authors":"Xin He, Fei Zhang, Chi Yung Jim, Ngai Weng Chan, Mou Leong Tan, Jingchao Shi","doi":"10.1080/01431161.2024.2382846","DOIUrl":"https://doi.org/10.1080/01431161.2024.2382846","url":null,"abstract":"Coal is a prominent energy resource in China. Therefore, it is crucial to accurately extract the coal-covered areas. Taking Xinjiang’s Zhundong mining region as the study area, Landsat 8 OLI data w...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"81 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141944730","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
Direction-aware multi-branch attention and Gaussian label assignment for remote sensing aggregative object detection 遥感聚合物体检测中的方向感知多分支关注和高斯标签分配
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-08-02 DOI: 10.1080/01431161.2024.2382848
Haibo Cheng, Yungang Cao, Baikai Sui, Shuang Zhang, Yahui Zeng
{"title":"Direction-aware multi-branch attention and Gaussian label assignment for remote sensing aggregative object detection","authors":"Haibo Cheng, Yungang Cao, Baikai Sui, Shuang Zhang, Yahui Zeng","doi":"10.1080/01431161.2024.2382848","DOIUrl":"https://doi.org/10.1080/01431161.2024.2382848","url":null,"abstract":"A large number of objects of different scales appear aggregative distribution in remote sensing images, which brings two challenges to remote sensing object detection. The first challenge arises fr...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"41 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141944731","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
Global forest resilience change from 2001 to 2022 2001 年至 2022 年全球森林复原力的变化
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-08-02 DOI: 10.1080/01431161.2024.2380546
Jing Guo, Zhiliang Zhu, Peng Gong
{"title":"Global forest resilience change from 2001 to 2022","authors":"Jing Guo, Zhiliang Zhu, Peng Gong","doi":"10.1080/01431161.2024.2380546","DOIUrl":"https://doi.org/10.1080/01431161.2024.2380546","url":null,"abstract":"Forest resilience, the ecosystem’s capacity to withstand perturbations and retain primary functions and characteristics, is an essential indicator in evaluating the fate of an ecosystem under rapid...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"136 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141944727","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
Scale-wised feature enhancement network for change captioning of remote sensing images 用于遥感图像变化字幕的尺度化特征增强网络
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-07-31 DOI: 10.1080/01431161.2024.2380544
Fengwei Zhang, Wenjing Zhang, Kai Xia, Hailin Feng
{"title":"Scale-wised feature enhancement network for change captioning of remote sensing images","authors":"Fengwei Zhang, Wenjing Zhang, Kai Xia, Hailin Feng","doi":"10.1080/01431161.2024.2380544","DOIUrl":"https://doi.org/10.1080/01431161.2024.2380544","url":null,"abstract":"The Remote Sensing Image Change Captioning (RSICC) has recently emerged in the field of remote sensing image interpretation; it aims to automatically predict natural language captions of significan...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"26 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141944736","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
Machine learning approach to burned area mapping for Southern California 南加州烧毁区域绘图的机器学习方法
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-07-31 DOI: 10.1080/01431161.2024.2380543
Chandler Ross, Douglas Stow, Daniel Sousa, Megan Jennings, Atsushi Nara, Philip Riggan
{"title":"Machine learning approach to burned area mapping for Southern California","authors":"Chandler Ross, Douglas Stow, Daniel Sousa, Megan Jennings, Atsushi Nara, Philip Riggan","doi":"10.1080/01431161.2024.2380543","DOIUrl":"https://doi.org/10.1080/01431161.2024.2380543","url":null,"abstract":"Accurate representation of the location and amount of burned areas is vital to the understanding of patterns and impacts of fires. Some extant burned area maps appear to have high commission errors...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"199 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141944735","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
Emerging methodologies in waterbody delineation: an In-depth review 水体划分的新方法：深入审查
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-07-31 DOI: 10.1080/01431161.2024.2379518
S. Rajeswari, P. Rathika
{"title":"Emerging methodologies in waterbody delineation: an In-depth review","authors":"S. Rajeswari, P. Rathika","doi":"10.1080/01431161.2024.2379518","DOIUrl":"https://doi.org/10.1080/01431161.2024.2379518","url":null,"abstract":"Waterbody extraction from satellite imagery plays a crucial role in various environmental monitoring and management applications. Accurate identification and delineation of water bodies are essenti...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"1 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141944734","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
Interactive Siamese spatial-Spectral cross-layer fusion transformer for hyperspectral image change detection 用于高光谱图像变化检测的交互式连体空间-光谱跨层融合变换器
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-07-31 DOI: 10.1080/01431161.2024.2379516
Chenming Li, Xingyu Feng, Yiyan Zhang, Hongmin Gao, Zhonghao Chen, Shufang Xu
{"title":"Interactive Siamese spatial-Spectral cross-layer fusion transformer for hyperspectral image change detection","authors":"Chenming Li, Xingyu Feng, Yiyan Zhang, Hongmin Gao, Zhonghao Chen, Shufang Xu","doi":"10.1080/01431161.2024.2379516","DOIUrl":"https://doi.org/10.1080/01431161.2024.2379516","url":null,"abstract":"Recently, methods based on Transformer have been widely used in the research field of hyperspectral image (HSI) change detection (CD). However, existing transformer-based CD research does not suffi...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"13 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141944732","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
High-resolution wide-swath SAR imaging with multifrequency pulse diversity mode in azimuth multichannel system 方位角多通道系统中采用多频脉冲分集模式的高分辨率宽扫描合成孔径雷达成像技术
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-07-31 DOI: 10.1080/01431161.2024.2379517
Mengdi Zhang, Hongyi Lu, Shiyin Li, Zhiwei Li
{"title":"High-resolution wide-swath SAR imaging with multifrequency pulse diversity mode in azimuth multichannel system","authors":"Mengdi Zhang, Hongyi Lu, Shiyin Li, Zhiwei Li","doi":"10.1080/01431161.2024.2379517","DOIUrl":"https://doi.org/10.1080/01431161.2024.2379517","url":null,"abstract":"High-resolution wide-swath (HRWS) imaging has emerged as a focal point in synthetic aperture radar (SAR) research. However, conventional SAR systems face challenges in achieving both high azimuth r...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"24 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141944733","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
CTNet: an efficient coupled transformer network for robust hyperspectral unmixing CTNet：用于稳健高光谱非混合的高效耦合变压器网络
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-07-30 DOI: 10.1080/01431161.2024.2371084
Fanlei Meng, Haixin Sun, Jie Li, Tingfa Xu
{"title":"CTNet: an efficient coupled transformer network for robust hyperspectral unmixing","authors":"Fanlei Meng, Haixin Sun, Jie Li, Tingfa Xu","doi":"10.1080/01431161.2024.2371084","DOIUrl":"https://doi.org/10.1080/01431161.2024.2371084","url":null,"abstract":"This study introduces the coupled transformer Network (CTNet), an architecture designed to enhance the robustness and effectiveness of hyperspectral unmixing (HSU) tasks, addressing key limitations...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"41 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141944739","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信
小红书