  The Earth observation satellites have been monitoring the earth's surface for
a long time, and the images taken by the satellites contain large amounts of
valuable data. However, it is extremely hard work to manually analyze such huge
data. Thus, a method of automatic object detection is needed for satellite
images to facilitate efficient data analyses. This paper describes a new image
feature extended from higher-order local autocorrelation to the object
detection of multispectral satellite images. The feature has been extended to
extract spectral inter-relationships in addition to spatial relationships to
fully exploit multispectral information. The results of experiments with object
detection tasks conducted to evaluate the effectiveness of the proposed feature
extension indicate that the feature realized a higher performance compared to
existing methods.
