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International Journal of Remote Sensing最新文献

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Monitoring and regression analysis of landfill surface temperatures using remote sensing and image processing techniques 利用遥感和图像处理技术对垃圾填埋场表面温度进行监测和回归分析
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-07-12 DOI: 10.1080/01431161.2024.2372081
Kislaye Sharma, Meenakshi Sood, Amod Kumar
{"title":"Monitoring and regression analysis of landfill surface temperatures using remote sensing and image processing techniques","authors":"Kislaye Sharma, Meenakshi Sood, Amod Kumar","doi":"10.1080/01431161.2024.2372081","DOIUrl":"https://doi.org/10.1080/01431161.2024.2372081","url":null,"abstract":"Advancements in satellite technology coupled with image processing, statistical tools and Artificial Intelligence (AI) algorithms, enable efficient, non-invasive, real-time monitoring and analysis ...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"24 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141608942","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
TROG: a fast and robust scene-matching algorithm for geo-referenced images TROG：用于地理参照图像的快速稳健场景匹配算法
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-07-12 DOI: 10.1080/01431161.2024.2358543
Hongrui Yang, Qiju Zhu, Chunbo Mei, Pengxiang Yang, Hao Gu, Zhenhui Fan
{"title":"TROG: a fast and robust scene-matching algorithm for geo-referenced images","authors":"Hongrui Yang, Qiju Zhu, Chunbo Mei, Pengxiang Yang, Hao Gu, Zhenhui Fan","doi":"10.1080/01431161.2024.2358543","DOIUrl":"https://doi.org/10.1080/01431161.2024.2358543","url":null,"abstract":"In a GNSS-denied/challenged environment, the scene-matching navigation system (SMNS) is a vital autonomous technology for unmanned aerial vehicles (UAV). This paper proposes a novel template-matchi...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"39 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141608996","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
Ship polarization information restoration in sea haze weather via airlight estimation 通过空照估计还原海上雾霾天气中的船舶偏振信息
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-07-12 DOI: 10.1080/01431161.2024.2373342
Qilong Jia, Zhenduo Zhang
{"title":"Ship polarization information restoration in sea haze weather via airlight estimation","authors":"Qilong Jia, Zhenduo Zhang","doi":"10.1080/01431161.2024.2373342","DOIUrl":"https://doi.org/10.1080/01431161.2024.2373342","url":null,"abstract":"The polarization information of incident light gets lost after passing through the scattering medium such as haze. This phenomenon, called depolarization, poses a challenge to polarization remote s...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"8 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141609253","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
Improving post-fire GEDI canopy height accuracy and canopy height mapping through convolutional neural network model 通过卷积神经网络模型提高火灾后 GEDI 树冠高度的准确性并绘制树冠高度图
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-07-12 DOI: 10.1080/01431161.2024.2373344
Tsung-Chi Chou, Xuan Zhu, Ruth Reef
{"title":"Improving post-fire GEDI canopy height accuracy and canopy height mapping through convolutional neural network model","authors":"Tsung-Chi Chou, Xuan Zhu, Ruth Reef","doi":"10.1080/01431161.2024.2373344","DOIUrl":"https://doi.org/10.1080/01431161.2024.2373344","url":null,"abstract":"The Global Ecosystem Dynamics Investigation (GEDI) LiDAR data have been widely used to measure tree canopy heights. However, due to the altered GEDI waveform geometry in the fire-consumed canopy la...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"13 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141608944","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
Response and resilience to drought in northern forests revealed by Sentinel-2 哨兵 2 号揭示了北方森林对干旱的反应和恢复能力
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-07-12 DOI: 10.1080/01431161.2024.2372076
M. Müller, P.-O. Olsson, L. Eklundh, S. Jamali, J. Ardö
{"title":"Response and resilience to drought in northern forests revealed by Sentinel-2","authors":"M. Müller, P.-O. Olsson, L. Eklundh, S. Jamali, J. Ardö","doi":"10.1080/01431161.2024.2372076","DOIUrl":"https://doi.org/10.1080/01431161.2024.2372076","url":null,"abstract":"Enhancing forest drought resilience is important for preserving ecosystem services in the face of climate change, but operational management methods for boreal forests aiming to preserve ecosystem ...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"39 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141608941","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
Ocean water colour retrieval method based on directional polarimetric camera 基于定向偏振相机的海洋水色检索方法
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-07-12 DOI: 10.1080/01431161.2024.2373335
Yuwei Pan, Jingjing Chen, Feinan Chen, Guangfeng Xiang, Donggen Luo, Liang Sun, Jin Hong, Shuangbao Shu
{"title":"Ocean water colour retrieval method based on directional polarimetric camera","authors":"Yuwei Pan, Jingjing Chen, Feinan Chen, Guangfeng Xiang, Donggen Luo, Liang Sun, Jin Hong, Shuangbao Shu","doi":"10.1080/01431161.2024.2373335","DOIUrl":"https://doi.org/10.1080/01431161.2024.2373335","url":null,"abstract":"Chlorophyll-a (Chl-a) concentrations serve as a pivotal metric for assessing the biological content and eutrophication levels of waterbodies. In optical remote sensing, empirical and semi-analytica...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"55 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141609252","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
Estimation of chlorophyll content of Cinnamomum camphora leaves based on hyperspectral and fractional order differentiation 基于高光谱和分数阶差法估算樟树叶片的叶绿素含量
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-07-11 DOI: 10.1080/01431161.2024.2372064
Baocheng Yang, Haina Zhang, Xianghui Lu, Yue Zhang, Haolong Wan, Xin Luo, Jie Zhang
{"title":"Estimation of chlorophyll content of Cinnamomum camphora leaves based on hyperspectral and fractional order differentiation","authors":"Baocheng Yang, Haina Zhang, Xianghui Lu, Yue Zhang, Haolong Wan, Xin Luo, Jie Zhang","doi":"10.1080/01431161.2024.2372064","DOIUrl":"https://doi.org/10.1080/01431161.2024.2372064","url":null,"abstract":"Hyperspectral remote sensing combined with data preprocessing techniques and machine learning algorithms is a new way to efficiently estimate plant SPAD. In this study, the raw hyperspectral reflec...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"55 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141609234","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
Attention and transformer complementary fusion network for hyperspectral image spectral reconstruction 用于高光谱图像光谱重建的注意和变换器互补融合网络
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-07-11 DOI: 10.1080/01431161.2024.2371086
Changwu Zou, Can Zhang, Changzhong Zou
{"title":"Attention and transformer complementary fusion network for hyperspectral image spectral reconstruction","authors":"Changwu Zou, Can Zhang, Changzhong Zou","doi":"10.1080/01431161.2024.2371086","DOIUrl":"https://doi.org/10.1080/01431161.2024.2371086","url":null,"abstract":"Hyperspectral images can be widely used in many fields due to their high information richness. However, costly and complex imaging spectrometers limit its growth. Hyperspectral reconstruction aims ...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"43 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141609255","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
Heterogeneous feature learning network for multimodal remote sensing image collaborative classification 用于多模态遥感图像协作分类的异构特征学习网络
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-07-09 DOI: 10.1080/01431161.2024.2370502
Xuchu Yu, Zhixiang Xue, Guopeng Yang, Anzhu Yu, Bing Liu, Qingfeng Hu
{"title":"Heterogeneous feature learning network for multimodal remote sensing image collaborative classification","authors":"Xuchu Yu, Zhixiang Xue, Guopeng Yang, Anzhu Yu, Bing Liu, Qingfeng Hu","doi":"10.1080/01431161.2024.2370502","DOIUrl":"https://doi.org/10.1080/01431161.2024.2370502","url":null,"abstract":"While multimodal remote sensing data processing has garnered growing interests in the geoscience field, how to effectively extract, represent, and fuse heterogeneous features remains challenging. I...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"20 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141587043","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 systematic review on the application of UAV-based thermal remote sensing for assessing and monitoring crop water status in crop farming systems 关于应用无人机热遥感技术评估和监测作物耕作系统中作物水分状况的系统综述
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-07-08 DOI: 10.1080/01431161.2024.2368933
Helen S. Ndlovu, John Odindi, Mbulisi Sibanda, Onisimo Mutanga
{"title":"A systematic review on the application of UAV-based thermal remote sensing for assessing and monitoring crop water status in crop farming systems","authors":"Helen S. Ndlovu, John Odindi, Mbulisi Sibanda, Onisimo Mutanga","doi":"10.1080/01431161.2024.2368933","DOIUrl":"https://doi.org/10.1080/01431161.2024.2368933","url":null,"abstract":"The accurate assessment and monitoring of crop water status is a critical component of precision agriculture. Over the recent decade, unmanned aerial vehicles (UAVs) integrated with high-resolution...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"22 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141609235","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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