Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Weihuan Deng"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 10914-10928 (2024)
As urbanization accelerates, the evolving dynamics of village growth and decline have garnered widespread attention. Rural housing, as the most significant asset in villages, serves as the primary indicator of socioeconomic development in rural areas
Externí odkaz:
https://doaj.org/article/5f02eb0598c24c3288bd7cf85b240a78
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 10, p 345 (2024)
The pursuit of the Sustainable Development Goals has highlighted rural electricity consumption patterns, necessitating innovative analytical approaches. This paper introduces a novel method for predicting rural electricity consumption by leveraging d
Externí odkaz:
https://doaj.org/article/eb6cbcbc3118403090652f13c0d86439
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Housing quality is essential to human well-being, security and health. Monitoring the housing quality is crucial for unveiling the socioeconomic development status and providing political proposals. However, depicting the nationwide housing
Externí odkaz:
https://doaj.org/article/9699d5818ade4fe2937e16fc6b578f7a
Autor:
Qiqi Zhu, Xi Guo, Weihuan Deng, Sunan Shi, Qingfeng Guan, Yanfei Zhong, Liangpei Zhang, Deren Li
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 184:63-78
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63d952dfdcd6318caec6e03f49826937
https://doi.org/10.1016/j.isprsjprs.2021.12.005
https://doi.org/10.1016/j.isprsjprs.2021.12.005
Publikováno v:
IGARSS
High spatial resolution remote sensing images (HSR-RSIs) are critical to providing fine land cover/land use information for scene classification. The global low spatial resolution remote sensing images (LSR-RSIs) can be easily obtained at present, wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c11f5f9d8389329fd0293c367326b480
https://doi.org/10.1109/igarss47720.2021.9554060
https://doi.org/10.1109/igarss47720.2021.9554060
Publikováno v:
IGARSS
Change detection is one of the main tasks in remote sensing field, and is essential for the accurate processing and understanding of the available earth observation data. However, most of the works focus on traditional binary change detection, withou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46462da53a76d02a9d570f24be664013
https://doi.org/10.1109/igarss47720.2021.9553754
https://doi.org/10.1109/igarss47720.2021.9553754
Autor:
Weihua Lin, Qiqi Zhu, Deren Li, Weihuan Deng, Yanfei Zhong, Zhuo Zheng, Liangpei Zhang, Qingfeng Guan
Publikováno v:
IEEE transactions on cybernetics. 52(11)
Deep learning techniques have been widely applied to hyperspectral image (HSI) classification and have achieved great success. However, the deep neural network model has a large parameter space and requires a large number of labeled data. Deep learni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b4eccbc35f3bf5c013c4f96c210ecd6
https://pubmed.ncbi.nlm.nih.gov/34033562
https://pubmed.ncbi.nlm.nih.gov/34033562