LI Ruiping, LUO Zhidong, XIA Zhaohua, et al. Automatic Settlement Extract in Hilly Area Based on GF1 Satellite Images[J]. Bulletin of Soiland Water Conservation, 2017, 37(6): 124-128.
DOI:
LI Ruiping, LUO Zhidong, XIA Zhaohua, et al. Automatic Settlement Extract in Hilly Area Based on GF1 Satellite Images[J]. Bulletin of Soiland Water Conservation, 2017, 37(6): 124-128. DOI: 10.13961/j.cnki.stbctb.2017.06.020.
Automatic Settlement Extract in Hilly Area Based on GF1 Satellite Images
are the central areas of human activities. And they are also the hot and difficult spots for the precise interpretation of remote sensing. In order to extract settlement place in hilly area completely
this paper proposed a new method(SF) that can extract target information from the cooperation of multispectral image and panchromatic image.[Methods] The results had been analyzed comprehensively using GF1 image to extract settlement place in Henshan District Yuling City
Shaanxi Province automatically.[Results] The result showed that the extraction accuracy of SF was improved by 19.56% in comparison with the normal method that extracts target information from fusion data only(F); the number of incorrect pixels was decreased by 39.34%
and the missed pixel's number was reduced by 5.34%.[Conclusion] It can be seen that
SF method not only can effectively improve the extraction accuracy of settlement in hilly region
but also can save post-processing work for the reason that the wrong extraction has been reduced significantly. At the same time
it is also a good reference for the extraction of other land-use type.