%0 Journal Article
%T Improved Brovey method for multi-sensor image fusion<br>多卫星传感器数据的Brovey融合改进方法
%A ZHOU Huizhen
%A WU Shuang
%A MAO Def
%A Wang Aihu
%A YU Bingyang
%A LI Li
%A <br>周会珍
%A 吴双
%A 毛德发
%A 汪爱华
%A 于冰洋
%A 李丽
%J 遥感学报
%D 2012
%I 
%X We proposes a novel fusion method for multi-sensor image fusion, whose basic thought comes from Brovey transformation. This method exploits a new calculation formula of the product coefficient in Brovey transformation through considering spectral range differences and spectral response differences of different sensors in multi-sensor image fusion.Based on the spectral range differences and spectral response differences of various sensors, the inferential reasoning formula was proposed. The relationship between panchromatic and multi-spectral images was built using weighting coefficient β and proportion coefficient w. Finally, the product coefficient in Brovey transformation was rebuilt by the two factors.The novel multi-sensor image fusion method has greatly reduced spectral distortion in Brovey transformation. To evaluate its performance and efficiency, four experiments using proposed fusion method, Brovey transformation and Modified IHS were carried out, including fusion of Beijing-1 small satellite (BJ-1) multi-spectral (MS) image and SPOT 5 panchromatic (PAN) image, the SPOT 4 MS image and BJ-1 PAN image, the Landsat 5 (TM) MS image and BJ-1 PAN image, and the HJ-1A MS image and SPOT 5 PAN image. Qualitative and quantitative evaluations of the tests were also conducted. The results showed that the proposed method is better than the other two methods generally. It shows good ability in spectral preservation and high spatial details immersion. The simpleness and timesaving make it high potential in future applications.
%K multi-sensor
%K spectral range differences
%K spectral response differences
%K product coefficient<br>多卫星传感器
%K 光谱范围差异
%K 光谱响应差异
%K 乘积系数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=2C2DE33E892A8820B1BC8535B01C6333&yid=99E9153A83D4CB11&vid=7801E6FC5AE9020C&iid=0B39A22176CE99FB&sid=5957D6E0A50D26B5&eid=5DCBAAB000A70168&journal_id=1007-4619&journal_name=遥感学报&referenced_num=0&reference_num=16