Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Xiaokun Su"'
Publikováno v:
Remote Sensing, Vol 16, Iss 18, p 3528 (2024)
Forest change affects local and global climate by altering the physical properties of the land surface. Accurately assessing urban forest changes in local land surface temperature (LST) is a scientific and crucial strategy for mitigating regional cli
Externí odkaz:
https://doaj.org/article/bca0703c2ade40ff9dbe9311ccbb748a
Publikováno v:
Sustainability; Volume 14; Issue 13; Pages: 8095
Sustainable development is a scientific development requirement for economic, social, and ecological development and is particularly important for less developed areas to achieve high quality development. Among them, the traffic flow network is a key
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 132, Iss , Pp 104028- (2024)
Deep learning is widely applied in synthetic aperture radar (SAR) target recognition. However, the high cost of collecting real SAR target data leads to insufficient data volume and diversity of SAR target datasets, making it challenging to support d
Externí odkaz:
https://doaj.org/article/8ff8c41abff04447b87dd728d6d312aa
Autor:
Xiaokun Sun
Publikováno v:
SAGE Open, Vol 14 (2024)
Faced with the severe situation of global population aging, smart elderly care services have become an effective way to solve the dilemma of elderly care. In recent years, the Chinese government has frequently issued policies to promote the rapid dev
Externí odkaz:
https://doaj.org/article/cc0f3809ae964f798e9d2f82095e3cf9
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
The mining of open pit can easily cause geological disasters such as landslide and debris flow. It is widely acknowledged that communication technology could solve the existing problems in engineering practice from the aspects of disaster monitoring,
Externí odkaz:
https://doaj.org/article/ff3f716e1bc14dd0a76eac8e99cb1804
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 8795-8808 (2023)
Polarimetric decomposition of oriented buildings is challenging due to their variable orientation angles and structures. Both vegetated and oriented built-up areas generate the HV component namely cross-polarized scattering, leading to an overestimat
Externí odkaz:
https://doaj.org/article/82c44310b809436a91280d1beb8e4a20
Publikováno v:
Leida xuebao, Vol 11, Iss 6, Pp 1081-1097 (2022)
Synthetic Aperture Radar (SAR) image registration has recently been one of the most challenging tasks because of speckle noise, geometric distortion and nonlinear radiation differences between SAR images. The repeatability of keypoints and the effect
Externí odkaz:
https://doaj.org/article/1861adf7dae442068680aa1266efea38
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 4507-4520 (2022)
Synthetic aperture radar (SAR) automatic target recognition (ATR) technology is one of the key technologies to achieve intelligent interpretation for SAR images. With the rapid development of deep learning, deep neural networks have been successively
Externí odkaz:
https://doaj.org/article/bd07cc3e4df84d4f90315e5f20bd5fed
Publikováno v:
Remote Sensing, Vol 15, Iss 14, p 3528 (2023)
The registration of optical and SAR images has always been a challenging task due to the different imaging mechanisms of the corresponding sensors. To mitigate this difference, this paper proposes a registration algorithm based on a pseudo-SAR image
Externí odkaz:
https://doaj.org/article/0f288897c4ed4b76a02bd745cd788c82
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2021, Iss 1, Pp 1-16 (2021)
Abstract With the expansion of human production activities, geological disasters caused by slope instability are occurring more frequently. Hence, the research on effective monitoring and forecasting of the geotechnical stability of slopes is of grea
Externí odkaz:
https://doaj.org/article/c1ed7d4a66a0417abfcda2260456406f