(1.Institution of Remote Sensing and Digital Earth of Chinese Academy of Sciences，Digital Earth Key Laboratory，Beijing 100094，China；
2.University of Chinese Academy of Sciences，Beijing 100049，China；
3.Hainan Key Laboratory of Earth Observation，Sanya 572029，China；
4.China Aero Geophysical Survey and Remote Sensing Center for Landand Resources，Beijing 100083，China)
Abstract：The information of burned area is significant for post disaster assessment，ecosystems protection and restoration.So far，the existing detection methods of burned areas are less practical.Based on the FY\|3C MERSI satellite data，various characteristics of the burned area are fully utilized and a new method of burned area mapping is created through saliency enhancement.Two burned areas in the northwestern United States were selected as research areas.Three burned\|area\|sensitive vegetation indices(NDVI，GEMI and NDVIT) were combined with the saliency features of the images to enhance and extract the burned areas.Visual interpretations are used to evaluate the experimental results of the proposed method，and compared with the results of NBR threshold method.The results show that the kappa coefficient of the saliency enhancement method in the two research areas reaches more than 0.68，0.2 higher than NBR threshold method.Experiments show that the saliency enhancement method for mapping burned area is high，and the influence of vegetation change caused by non\|burned has little influence on it，and the method has a certain stability compared with the NBR threshold method.
单天婵，王长林. 基于显著性增强的过火区域提取研究[J]. 遥感技术与应用, 2018, 33(3): 536-544.
Shan Tianchan，Wang Changlin. Research on Extraction of Burned Area based on Saliency Enhancement. Remote Sensing Technology and Application, 2018, 33(3): 536-544.