Zobrazeno 1 - 10
of 2 537
pro vyhledávání: '"X. X. Zhu"'
Autor:
E. Loebel, M. Scheinert, M. Horwath, A. Humbert, J. Sohn, K. Heidler, C. Liebezeit, X. X. Zhu
Publikováno v:
The Cryosphere, Vol 18, Pp 3315-3332 (2024)
The mass balance of the Greenland Ice Sheet is strongly influenced by the dynamics of its outlet glaciers. Therefore, it is of paramount importance to accurately and continuously monitor these glaciers, especially the variation in their frontal posit
Externí odkaz:
https://doaj.org/article/b966516960c3465fae10f7ac40c1c984
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-2024, Pp 371-378 (2024)
Rooftop photovoltaic is considered as a cost-effective and environmentally friendly solution to energy challenges in urban areas. To ensure photovoltaic efficiency, it is essential to accurately estimate rooftop solar potential and deploy solar panel
Externí odkaz:
https://doaj.org/article/2e03510bbb5c41bb9246ff9a18d490e6
Publikováno v:
Earth System Science Data, Vol 16, Pp 919-939 (2024)
The mass loss of glaciers outside the polar ice sheets has been accelerating during the past several decades and has been contributing to global sea-level rise. However, many of the mechanisms of this mass loss process are not well understood, especi
Externí odkaz:
https://doaj.org/article/38f50d3e969d42529dc98faea0e2285c
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W2-2023, Pp 225-232 (2023)
Crowdsourced platforms provide huge amounts of street-view images that contain valuable building information. This work addresses the challenges in applying Scene Text Recognition (STR) in crowdsourced street-view images for building attribute mappin
Externí odkaz:
https://doaj.org/article/6221105e4a584f65a3de4f67e6b5c149
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-1-W1-2023, Pp 911-918 (2023)
Due to its ability to acquire data regardless of weather conditions and solar illumination, Synthetic Aperture Radar (SAR) intensity data is the preferred data for large-scale flood mapping. However, due to the SAR image distortions and complex land
Externí odkaz:
https://doaj.org/article/67153710a3fd4015bf3969d8a23cdc09
Publikováno v:
Earth System Science Data, Vol 15, Pp 113-131 (2023)
In Earth observation, multimodal data fusion is an intuitive strategy to break the limitation of individual data. Complementary physical contents of data sources allow comprehensive and precise information retrieval. With current satellite missions,
Externí odkaz:
https://doaj.org/article/e8b6a5dea73a4e48b753f03e7412e04b
Publikováno v:
Radioengineering, Vol 31, Iss 3, Pp 262-272 (2022)
For bistatic inverse synthetic aperture radar (Bi-ISAR), the non-uniform motion state of maneuvering target and the time-varying bistatic angle make the traditional imaging method of moving target face the problem of translation compensation, and the
Externí odkaz:
https://doaj.org/article/b0451e2d7bb44248886157ac9ae36234
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-3-2022, Pp 85-92 (2022)
Monitoring volcanic deformations allows us to track dynamic states of a volcano and to know where an eruptions could happen. Spaceborne Synthetic Aperture Radar (SAR) and SAR interferometry (InSAR) techniques created an opportunity to track volcanoes
Externí odkaz:
https://doaj.org/article/722d80c732944d76aa853d07803f8761
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-3-2022, Pp 217-224 (2022)
With the rapid rise of neural architecture search, the ability to understand its complexity from the perspective of a search algorithm is desirable. Recently, Traoré et al. have proposed the framework of Fitness Landscape Footprint to help describe
Externí odkaz:
https://doaj.org/article/208101331f134347b29c9e008c0b78b0
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2022, Pp 1407-1413 (2022)
Owing to the presence of many sensors and geographic/seasonal variations, domain adaptation is an important topic in remote sensing. However, most domain adaptation methods focus on close-set adaptation, i.e., they assume that the source and target d
Externí odkaz:
https://doaj.org/article/8a7527a656384f12ab62961a6c4ea0e2