Pub Date : 2024-05-07DOI: 10.1080/01431161.2024.2343429
Tsung-Chi Chou, Xuan Zhu, Ruth Reef
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,...
{"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}
Pub Date : 2024-05-07DOI: 10.1080/01431161.2024.2343430
Liang Zhao, Jixue Liu, Stefan Peters, Jiuyong Li, Norman Mueller, Simon Oliver
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...
本文探讨了从多传感器、多光谱卫星图像中训练深度学习模型进行火灾烟雾场景检测所面临的挑战。
{"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}
Pub Date : 2024-05-07DOI: 10.1080/01431161.2024.2343432
Ye Zhu, Bo Wang, Qi Liu, Shihan Tan, Shengjie Wang, Wenyi Ge
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...
{"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}
Pub Date : 2024-05-03DOI: 10.1080/01431161.2024.2343138
Tong Ding, Xiaofei Wang
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...
{"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}
Pub Date : 2024-05-03DOI: 10.1080/01431161.2024.2343141
Arrun Sivasubramanian, Prashanth VR, Sowmya V, Vinayakumar Ravi
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...
{"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}
Pub Date : 2024-05-03DOI: 10.1080/01431161.2024.2343140
Peng Wang, Mingxuan Huang, Kang Ni, Wenjian Liu, Bo Huang, Mingzuan Xu
In this paper, an improving spatiotemporal image fusion (STIF) incorporating unmixing step by considering the point spread function (PSF) effect model (CPSF) is proposed to address the problem that...
{"title":"Improving spatiotemporal image fusion incorporating unmixing step by considering the point spread function effect","authors":"Peng Wang, Mingxuan Huang, Kang Ni, Wenjian Liu, Bo Huang, Mingzuan Xu","doi":"10.1080/01431161.2024.2343140","DOIUrl":"https://doi.org/10.1080/01431161.2024.2343140","url":null,"abstract":"In this paper, an improving spatiotemporal image fusion (STIF) incorporating unmixing step by considering the point spread function (PSF) effect model (CPSF) is proposed to address the problem that...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"162 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140887136","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}
Pub Date : 2024-05-03DOI: 10.1080/01431161.2024.2343139
Shuaitao Li, Yonghong Song, Xiaomeng Wu, You Su, Yuanlin Zhang
Change detection, an important task in remote sensing image analysis, has been extensively studied in recent years. However, change detection still faces problems such as difficulty in detecting sm...
{"title":"MFMENet: multi-scale features mutual enhancement network for change detection in remote sensing images","authors":"Shuaitao Li, Yonghong Song, Xiaomeng Wu, You Su, Yuanlin Zhang","doi":"10.1080/01431161.2024.2343139","DOIUrl":"https://doi.org/10.1080/01431161.2024.2343139","url":null,"abstract":"Change detection, an important task in remote sensing image analysis, has been extensively studied in recent years. However, change detection still faces problems such as difficulty in detecting sm...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"22 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140887131","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}
Pub Date : 2024-04-29DOI: 10.1080/01431161.2024.2343136
Xiarong Li, Jinyan Tian, Xiaojuan Li, Yongxin Yu, Yang Ou, Lin Zhu, Xiumin Zhu, Bingfeng Zhou, Huili Gong
Spartina alterniflora (S. alterniflora) expanded continuously in the coastal zone of the mainland in China, which caused serious ecological problems. Currently, there are several studies on large-s...
{"title":"Annual mapping of Spartina alterniflora with deep learning and spectral-phenological features from 2017 to 2021 in the mainland of China","authors":"Xiarong Li, Jinyan Tian, Xiaojuan Li, Yongxin Yu, Yang Ou, Lin Zhu, Xiumin Zhu, Bingfeng Zhou, Huili Gong","doi":"10.1080/01431161.2024.2343136","DOIUrl":"https://doi.org/10.1080/01431161.2024.2343136","url":null,"abstract":"Spartina alterniflora (S. alterniflora) expanded continuously in the coastal zone of the mainland in China, which caused serious ecological problems. Currently, there are several studies on large-s...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"294 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140811574","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}
Pub Date : 2024-04-26DOI: 10.1080/01431161.2024.2343133
Feilong Cao, Jieqin Bao, Bing Yang, Hailiang Ye
Hypergraph neural networks (HGNNs), extending the techniques of graph neural networks, have been applied to various fields due to their ability to capture more complex high-order node relationships...
{"title":"A fast hypergraph neural network with detail preservation for hyperspectral image classification","authors":"Feilong Cao, Jieqin Bao, Bing Yang, Hailiang Ye","doi":"10.1080/01431161.2024.2343133","DOIUrl":"https://doi.org/10.1080/01431161.2024.2343133","url":null,"abstract":"Hypergraph neural networks (HGNNs), extending the techniques of graph neural networks, have been applied to various fields due to their ability to capture more complex high-order node relationships...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"44 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140828726","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}
Pub Date : 2024-04-26DOI: 10.1080/01431161.2024.2343132
Shirin Hassanzadeh, Habibollah Danyali, Azam Karami, Mohammad Sadegh Helfroush
Multiple kernel learning (MKL) is an efficient way to improve hyperspectral image classification with few training samples by integrating spectral and spatial features. Nonetheless, presenting a MK...
{"title":"A novel graph-based multiple kernel learning framework for hyperspectral image classification","authors":"Shirin Hassanzadeh, Habibollah Danyali, Azam Karami, Mohammad Sadegh Helfroush","doi":"10.1080/01431161.2024.2343132","DOIUrl":"https://doi.org/10.1080/01431161.2024.2343132","url":null,"abstract":"Multiple kernel learning (MKL) is an efficient way to improve hyperspectral image classification with few training samples by integrating spectral and spatial features. Nonetheless, presenting a MK...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"90 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140828671","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}
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