Jiaqun Zhu1, Hongda Chen2, Yiqing Fan1, Tongguang Ni1,2,*
CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2267-2283, 2023, DOI:10.32604/cmes.2023.027709
Abstract To create a green and healthy living environment, people have put forward higher requirements for the refined
management of ecological resources. A variety of technologies, including satellite remote sensing, Internet of
Things, artificial intelligence, and big data, can build a smart environmental monitoring system. Remote sensing
image classification is an important research content in ecological environmental monitoring. Remote sensing
images contain rich spatial information and multi-temporal information, but also bring challenges such as difficulty
in obtaining classification labels and low classification accuracy. To solve this problem, this study develops a
transductive transfer dictionary learning (TTDL) algorithm. In the TTDL, the… More >
Login
Register
