Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Ruben Fernandez-Beltran"'
Publikováno v:
Data in Brief, Vol 54, Iss , Pp 110364- (2024)
Shadow, a natural phenomenon resulting from the absence of direct lighting, finds diverse real-world applications beyond computer vision, such as studying its effect on photosynthesis in plants and on the reduction of solar energy harvesting through
Externí odkaz:
https://doaj.org/article/f535cc5eca8546c3879d64e0eaf813b0
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11899-11914 (2024)
Most state-of-the-art synthetic aperture radar (SAR) ship detection methods based on deep learning require large amounts of labeled data for network training. However, the annotation process requires significant manpower and resources especially for
Externí odkaz:
https://doaj.org/article/e453fea4de09474b947e904cc06463ff
Publikováno v:
Sensors, Vol 24, Iss 9, p 2737 (2024)
Shadow, a natural phenomenon resulting from the absence of light, plays a pivotal role in agriculture, particularly in processes such as photosynthesis in plants. Despite the availability of generic shadow datasets, many suffer from annotation errors
Externí odkaz:
https://doaj.org/article/00b40981958942e9a3d28eacbae6d97e
Autor:
Jian Kang, Fengyu Tong, Xiang Ding, Sijiang Li, Ruoxin Zhu, Yan Huang, Yusheng Xu, Ruben Fernandez-Beltran
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 4521-4530 (2022)
Sea-ice segmentation is of great importance for environmental research, ship navigation, and ice hazard forecasting. Remote sensing (RS) images have been a unique data source for rapid and large-scale sea-ice monitoring. The 2021 Gaofen Challenge has
Externí odkaz:
https://doaj.org/article/141f20c79b9549fc9ac56e01b7a6b865
Publikováno v:
IEEE Access, Vol 10, Pp 49599-49610 (2022)
Recent studies in the light field imaging have shown the potential and advantages of different light field information processes. In most of the existing techniques, the processing pipeline of light field has been treated in a step-by-step manner, an
Externí odkaz:
https://doaj.org/article/3c96626a1ab24e94800b36baf3241021
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 6804-6816 (2022)
Monitoring water bodies from remote sensing data is certainly an essential task to supervise the actual conditions of the available water resources for environment conservation, sustainable development, and many other applications. Being Sentinel-2 i
Externí odkaz:
https://doaj.org/article/2b071debe6a7498cb43729f8287d7900
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 2632-2643 (2022)
The synergies between Sentinel-3 (S3) and the forthcoming fluorescence explorer (FLEX) mission bring us the opportunity of using S3 vegetation indices (VI) as proxies of the solar-induced chlorophyll fluorescence (SIF) that will be captured by FLEX.
Externí odkaz:
https://doaj.org/article/6703ca374c93456da46ff39beb08dfb8
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 2551-2562 (2021)
Recently, many deep learning-based methods have been developed for solving remote sensing (RS) scene classification or retrieval tasks. Most of the adopted loss functions for training these models require accurate annotations. However, the presence o
Externí odkaz:
https://doaj.org/article/c77af0698d8c486ea98e9289a1fe1cb6
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 3447-3461 (2021)
The estimation of biophysical variables from remote sensing data raises important challenges in terms of the acquisition technology and its limitations. In this way, some vegetation parameters, such as chlorophyll fluorescence, require sensors with a
Externí odkaz:
https://doaj.org/article/4814f1bf4c4447a78990880a5c92cfa7
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 7359-7372 (2021)
The unprecedented availability of remote sensing data from different complementary Sentinel missions provides increasing opportunities to alleviate the spatial limitations of Sentinel-3 (S3) from an intersensor perspective. Nonetheless, effectively e
Externí odkaz:
https://doaj.org/article/aff9da222bb449d59c98b7d035e11fc1