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Refinado por: Base de dados/Biblioteca: ASFA: Aquatic Sciences and Fisheries Abstracts remover assunto: Engineering remover BACON - Mir@bel - GLOBAL_LIBRESACCES remover
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1
Restoration of the Mississippi Delta: Lessons from Hurricanes Katrina and Rita
Restoration of the Mississippi Delta: Lessons from Hurricanes Katrina and Rita
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Restoration of the Mississippi Delta: Lessons from Hurricanes Katrina and Rita

Day, John W. Jr ; Boesch, Donald F ; Clairain, Ellis J ; Kemp, G. Paul ; Laska, Shirley B ; Mitsch, William J ; Orth, Kenneth ; Mashriqui, Hassan ; Reed, Denise J ; Shabman, Leonard ; Simenstad, Charles A ; Streever, Bill J ; Twilley, Robert R ; Watson, Chester C ; Wells, John T ; Whigham, Dennis F

Science (American Association for the Advancement of Science), 2007-03, Vol.315 (5819), p.1679-1684 [Periódico revisado por pares]

Washington, DC: American Association for the Advancement of Science

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2
Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities
Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities
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Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities

Cheng, Gong ; Xie, Xingxing ; Han, Junwei ; Guo, Lei ; Xia, Gui-Song

IEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.3735-3756 [Periódico revisado por pares]

Piscataway: IEEE

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3
DASNet: Dual Attentive Fully Convolutional Siamese Networks for Change Detection in High-Resolution Satellite Images
DASNet: Dual Attentive Fully Convolutional Siamese Networks for Change Detection in High-Resolution Satellite Images
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DASNet: Dual Attentive Fully Convolutional Siamese Networks for Change Detection in High-Resolution Satellite Images

Chen, Jie ; Yuan, Ziyang ; Peng, Jian ; Chen, Li ; Huang, Haozhe ; Zhu, Jiawei ; Liu, Yu ; Li, Haifeng

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.1194-1206 [Periódico revisado por pares]

Piscataway: IEEE

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4
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
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EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

Helber, Patrick ; Bischke, Benjamin ; Dengel, Andreas ; Borth, Damian

IEEE journal of selected topics in applied earth observations and remote sensing, 2019-07, Vol.12 (7), p.2217-2226 [Periódico revisado por pares]

Piscataway: IEEE

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5
Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review
Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review
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Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review

Sheykhmousa, Mohammadreza ; Mahdianpari, Masoud ; Ghanbari, Hamid ; Mohammadimanesh, Fariba ; Ghamisi, Pedram ; Homayouni, Saeid

IEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.6308-6325 [Periódico revisado por pares]

Piscataway: IEEE

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6
Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review
Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review
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Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review

Amani, Meisam ; Ghorbanian, Arsalan ; Ahmadi, Seyed Ali ; Kakooei, Mohammad ; Moghimi, Armin ; Mirmazloumi, S. Mohammad ; Moghaddam, Sayyed Hamed Alizadeh ; Mahdavi, Sahel ; Ghahremanloo, Masoud ; Parsian, Saeid ; Wu, Qiusheng ; Brisco, Brian

IEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.5326-5350 [Periódico revisado por pares]

Piscataway: IEEE

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7
Deep Learning-Based Classification of Hyperspectral Data
Deep Learning-Based Classification of Hyperspectral Data
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Deep Learning-Based Classification of Hyperspectral Data

Chen, Yushi ; Lin, Zhouhan ; Zhao, Xing ; Wang, Gang ; Gu, Yanfeng

IEEE journal of selected topics in applied earth observations and remote sensing, 2014-06, Vol.7 (6), p.2094-2107 [Periódico revisado por pares]

Piscataway: IEEE

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8
Fast Hyperspectral Image Denoising and Inpainting Based on Low-Rank and Sparse Representations
Fast Hyperspectral Image Denoising and Inpainting Based on Low-Rank and Sparse Representations
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Fast Hyperspectral Image Denoising and Inpainting Based on Low-Rank and Sparse Representations

Zhuang, Lina ; Bioucas-Dias, Jose M.

IEEE journal of selected topics in applied earth observations and remote sensing, 2018-03, Vol.11 (3), p.730-742 [Periódico revisado por pares]

Piscataway: IEEE

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9
A Multiscale and Multidepth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening
A Multiscale and Multidepth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening
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A Multiscale and Multidepth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening

Yuan, Qiangqiang ; Wei, Yancong ; Meng, Xiangchao ; Shen, Huanfeng ; Zhang, Liangpei

IEEE journal of selected topics in applied earth observations and remote sensing, 2018-03, Vol.11 (3), p.978-989 [Periódico revisado por pares]

Piscataway: IEEE

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10
YOLOv5-Tassel: Detecting Tassels in RGB UAV Imagery With Improved YOLOv5 Based on Transfer Learning
YOLOv5-Tassel: Detecting Tassels in RGB UAV Imagery With Improved YOLOv5 Based on Transfer Learning
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YOLOv5-Tassel: Detecting Tassels in RGB UAV Imagery With Improved YOLOv5 Based on Transfer Learning

Liu, Wei ; Quijano, Karoll ; Crawford, Melba M.

IEEE journal of selected topics in applied earth observations and remote sensing, 2022, Vol.15, p.8085-8094 [Periódico revisado por pares]

Piscataway: IEEE

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