Zobrazeno 1 - 10
of 309
pro vyhledávání: '"pixel-based classification"'
Publikováno v:
Sensors, Vol 24, Iss 20, p 6664 (2024)
Wetlands play a vital role in regulating the global carbon cycle, providing biodiversity, and reducing flood risks. These functions maintain ecological balance and ensure human well-being. Timely, accurate monitoring of wetlands is essential, not onl
Externí odkaz:
https://doaj.org/article/55776ab7d3dd4531b76ee3bfcf6656cb
Publikováno v:
مدیریت بیابان, Vol 11, Iss 1, Pp 19-38 (2023)
IntroductionOver the past 60 years, the use of plastic covers as a tool to increase the harvest and increase the yield of horticultural crops has steadily increased worldwide. Plastic greenhouses have turned desert areas into areas with modern agricu
Externí odkaz:
https://doaj.org/article/b76c101875694a1cb46d4bec71a905f0
Inner Niger Delta Inundation Extent (2010–2022) Based on Landsat Imagery and the Google Earth Engine
Autor:
Benjamin Bonkoungou, Aymar Yaovi Bossa, Johannes van der Kwast, Marloes Mul, Luc Ollivier Sintondji
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1853 (2024)
The Inner Niger Delta (IND), one of the largest floodplain systems in Africa, sustains the livelihoods of more than three million people and is a driver of the rural economy of Mali as far as agriculture, fish production, and livestock are concerned.
Externí odkaz:
https://doaj.org/article/b37825338a344ced92175e7bb3c20089
Autor:
Han Liu, Tongkui Liao, Yu Wang, Xiaoming Qian, Xiaochen Liu, Chengming Li, Shiwei Li, Zhanlei Guan, Lijue Zhu, Xiaoyuan Zhou, Chong Liu, Tengyun Hu, Ming Luo
Publikováno v:
GIScience & Remote Sensing, Vol 60, Iss 1 (2023)
ABSTRACTTimely and accurate wetland information is necessary for wetland resource management. Recent advances in machine learning and remote sensing have facilitated cost-effective monitoring of wetlands. However, reliable methods for fine-grained an
Externí odkaz:
https://doaj.org/article/c5fb333aa3714c77bb13a1ad6f67ca94
Akademický článek
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Akademický článek
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Autor:
Mayar A. Shafaey, Farid Melgani, Mohammed A.-M. Salem, Maryam N. Al-Berry, Hala M. Ebied, El-Sayed A. El-Dahshan, Mohamed F. Tolba
Publikováno v:
IEEE Access, Vol 10, Pp 133174-133185 (2022)
Nowadays, remote sensing image analysis is needed in various important tasks such as city planning, land-use classification, agriculture monitoring, military surveillance, and many other applications. In this context, hyperspectral images can play a
Externí odkaz:
https://doaj.org/article/fe93a73a8b95419e8de281098fd0d277
Publikováno v:
IEEE Access, Vol 9, Pp 52067-52078 (2021)
Convolutional Neural Networks (CNN) have become the core of modern machine learning approaches. In addition to its inspiring interior design idea, the success of CNN depends mainly on two factors, the first is the availability of training data and th
Externí odkaz:
https://doaj.org/article/8fc7f2790ee146baa616d3cf8ca8c1d7
Publikováno v:
IEEE Access, Vol 8, Pp 36210-36225 (2020)
This paper presents a thorough evaluation of twenty-one state-of-the-art widely-used crop segmentation algorithms, motived by their significance in vision tasks for further analysis. An ideal crop segmentation algorithm can effectively extract crop i
Externí odkaz:
https://doaj.org/article/a38360d6981d4502bd35f0d0f87e68ad
Autor:
Hamed Hafizi, Kaan Kalkan
Publikováno v:
Havacılık ve Uzay Teknolojileri Dergisi, Vol 13, Iss 1, Pp 81-89 (2020)
Water body extraction plays a key role in water resource management and development which is one of the key issues in research topics related to remote sensing in recent decades. Pixel-based; supervised and unsupervised classification methods and wat
Externí odkaz:
https://doaj.org/article/e1961c01367e405eb7c8c34c04d5289c