1 research outputs found
Land use mapping in the Three Gorges Reservoir Area based on semantic segmentation deep learning method
The Three Gorges Dam, a massive cross-century project spans the Yangtze River
by the town of Sandouping, located in Yichang, Hubei province, China, was built
to provide great power, improve the River shipping, control floods in the upper
reaches of the Yangtze River, and increase the dry season flow in the middle
and lower reaches of the Yangtze River. Benefits are enormous and
comprehensive. However, the social and environmental impacts are also immense
and far-reaching to its surrounding areas. Mapping land use /land cover changed
(LUCC) is critical for tracking the impacts. Remote sensing has been proved to
be an effective way to map and monitor land use change in real time and in
large areas such as the Three Gorges Reservoir Area(TGRA) by using pixel based
or oriented based classifier in different resolution. In this paper, we first
test the state of the art semantic segmentation deep learning classifiers for
LUCC mapping with 7 categories in the TGRA area with rapideye 5m resolution
data. The topographic information was also added for better accuracy in
mountain area. By compared with the pixel-based classifier, the semantic
segmentation deep learning method has better accuracy and robustness at 5m
resolution level