城区建筑物的在轨热异常检测提取

城市区域是十分典型的不均匀区域,其地表类型复杂,温度变化快,研究城区建筑物的在轨热异常检测提取是一项非常具有挑战性的任务。基于LANDSAT影像,探究了一种城区建筑物的在轨热异常检测提取方法。首先基于多指数特征和几何特征对建筑物进行自动提取;然后采用单通道算法反演建筑物的温度;最后根据反演结果完成建筑物的在轨热异常检测提取。选取武汉地区对该算法进行建筑物热异常检测应用,并以ASTER官方地表温度为参考,对多个异常检测点进行了温度反演精确度评价。实验表明,本文的方法能够准确提取城区建筑物目标,其目标温度反演均方根误差优于3 K,是一种有效的城区建筑物在轨热异常检测提取方法。

On-Orbit thermal anomaly detection and extraction of urban buildings

Urban area is a very typical non-uniform area with complex surface type and fast temperature change. It is a very challenging task to study the thermal anomaly detection and extraction of urban buildings on-orbit. A thermal anomaly detection and extraction method of urban buildings on-orbit using LANDSAT images is presented. Firstly, urban buildings are automatically extracted based on the multi-exponential feature and geometric feature, then the single-channel algorithm is utilized to retrieve the temperature of the buildings, and finally the on-orbit thermal anomaly detection and extraction of urban buildings is completed according to the temperature inversion results. The feasibility and effectiveness of the method are verified in Wuhan city referenced to ASTER officially surface temperature products. Experiment results show that the proposed method can accurately extract the urban buildings, and the root-mean-square error of target temperature inversion is less than 3 K, indicating that this method is an effective method for detecting and extracting thermal anomalies of urban buildings on-orbit.