Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jiabao Yue"'
Publikováno v:
Remote Sensing, Vol 14, Iss 4, p 873 (2022)
Stripe noise is considered one of the largest issues in space-borne remote sensing. The features of stripe noise in high-resolution remote sensing images are varied in different spatiotemporal conditions, leading to limited detection capability. In t
Externí odkaz:
https://doaj.org/article/02be76f2e6504bb8a36389fa0998dd73
Autor:
Li Shen, Yao Lu, Hao Chen, Hao Wei, Donghai Xie, Jiabao Yue, Rui Chen, Shouye Lv, Bitao Jiang
Publikováno v:
Remote Sensing, Vol 13, Iss 24, p 5094 (2021)
Building-change detection underpins many important applications, especially in the military and crisis-management domains. Recent methods used for change detection have shifted towards deep learning, which depends on the quality of its training data.
Externí odkaz:
https://doaj.org/article/3db09107a03249d2a2b16e7257481551
Publikováno v:
Sustainability; Volume 14; Issue 14; Pages: 8773
Understanding the causes of poverty and identifying the transformation characteristics of poverty is the basis for achieving poverty eradication. In order to clarify the availability of construction land for poverty assessment, this paper explores th
Publikováno v:
Sustainability; Volume 15; Issue 2; Pages: 1573
As resources are depleted, resource-based cities face unique challenges in the process of socio-economic development. We constructed a multidimensional socio-economic development level model by adopting Entropy Value Method, Analytical Hierarchy Proc
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 658:012050
Land subsidence is one of the main geological disasters in the Beijing Plain. Accurate and quantitative monitoring of the evolution of land subsidence will help scientifically guide the prevention and control of land subsidence. We use PS-InSAR techn
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 658:012039
Aerosols can have an important impact on human society. Remote sensing method plays an important role in the aerosol retrieval. The aerosol retrieval SARA algorithm isn’t required a lot of prior knowledge and look-up table comparing with the tradit