Zobrazeno 1 - 10
of 844
pro vyhledávání: '"SAR imagery"'
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Earthquake Triggered Landslides (ETLs) are serious secondary hazards of earthquakes, causing severe casualties and property losses, and their rapid, automated and accurate detection is of great value. Due to the all-day and all-weather imaging capabi
Externí odkaz:
https://doaj.org/article/760fe3c373804f25998a6dbd664676bc
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 8904-8917 (2024)
Snow and glaciers play a crucial role in various applications such as hydrology, climate, and avalanche risk assessment. Remote sensing is a powerful tool for monitoring the snowpack and melt in glacier catchments. Synthetic aperture radar (SAR) imag
Externí odkaz:
https://doaj.org/article/abd58cc3ed594371ad254c8eac187eb5
Publikováno v:
Hydrology Research, Vol 54, Iss 3, Pp 277-302 (2023)
The urban growth leads cities to adopt sustainable strategies in order to mitigate the relevant hydrological effects. In this study, the use of synthetic aperture radar SAR imagery has allowed us to demonstrate a 70% increase of the built-up area in
Externí odkaz:
https://doaj.org/article/4136adba48424dbdb1d134c8e7a38675
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 9697-9710 (2023)
Robust principal component analysis (RPCA) has been widely used for processing and interpreting high-dimensional data in different applications such as data classification, face recognition, video analytics, and recommendation system design. However,
Externí odkaz:
https://doaj.org/article/24069f4eeb5648a39961610d121c0a51
Publikováno v:
Buildings, Vol 14, Iss 4, p 898 (2024)
After a disaster, ascertaining the operational state of extensive infrastructures and building clusters on a regional scale is critical for rapid decision-making and initial response. In this context, the use of remote sensing imagery has been acknow
Externí odkaz:
https://doaj.org/article/279514a8172b4198ae0ab2157a89870f
Publikováno v:
Remote Sensing, Vol 16, Iss 3, p 523 (2024)
Interferometric synthetic aperture radar (InSAR) and tomographic SAR measurement techniques are commonly used for the three-dimensional (3D) reconstruction of complex areas, while the effectiveness of these methods relies on the interferometric coher
Externí odkaz:
https://doaj.org/article/05607b2cb8d146788f0cddc0d666e462
Publikováno v:
Ecological Indicators, Vol 149, Iss , Pp 110157- (2023)
Evergreen forests are sensitive to climate change and their role in the exchange of carbon, water, and energy in terrestrial ecosystems is irreplaceable. The temporal and spatial variation of the evergreen forest is closely related to forest monitori
Externí odkaz:
https://doaj.org/article/9d29d0d1c78748119f34035f068a9ed1
Publikováno v:
Sensors, Vol 24, Iss 1, p 89 (2023)
The identification of colored steel buildings in images is crucial for managing the construction sector, environmental protection, and sustainable urban development. Current deep learning methods for optical remote sensing images often encounter chal
Externí odkaz:
https://doaj.org/article/61ac29e956b44d15b5d13cff58d7dcfd
Publikováno v:
Quaestiones Geographicae, Vol 41, Iss 1, Pp 93-105 (2022)
The study analyzes the changes in dynamics of the Jakobshavn Glacier in summer and winter in 2017 and 2021. Satellite radar observations and the available database were used for this. Moreover, the influence of the time baseline between SAR images on
Externí odkaz:
https://doaj.org/article/1d026a766c5d4cf287e7b88634dc0242
Publikováno v:
IEEE Access, Vol 10, Pp 73743-73757 (2022)
Deep learning techniques are very prominent in processing remotely sensed synthetic aperture radar (SAR) images for real-time, high-impact applications, such as image classification, object detection, and semantic segmentation. The accuracy of deep l
Externí odkaz:
https://doaj.org/article/a1a02a4ebfd2417b85805e0532409f95