针对检测目标进行基于引力场的船只目标增强,计算船只目标的纹理、光谱等指标,基于支持向量机(SVM)方法,利用天宫一号高光谱数据,得到空间探测信息与地面实际目标之间存在精确的相互关系,进行船只检测实验研究.结果表明:天宫一号高光谱数据能够有效的从海水背景中提取船只信息,但船只类型仍难以有效识别.图像的自动分割对于船只的检测非常重要.传感器的多光谱与高分辨率相结合是今后研制的一个主要方向.

In order to detect ship effectively, gravitational field based enhancement of ship targets was used to calculate textural and spectral index. Based on Support Vector Machine (SVM) method,the accurate relationship between space exploration information and ground objects was examined using the Tiangong-1 hyperspectral data, and used in the ships detection experiments. Results show that the ship objects can be effectively detected from the Tiangong-1 hyperspectral data against the sea water background. However, it is quite difficult to recognize the ship types from the imagery. The automatic segmentation of Tiangong-1 hyperspectral imagery is very important for ships detection. Multispectral and high resolution of the sensor is one of a main future study direction.