The high resolution remote sensing images can provide detailed ground information

and they have complex spatial structural features. Effectively describing and modeling them will play an important role in better realizing the tasks such as image interpretation

object recognition and extraction

scene understanding

and so on. This paper firstly introduces the concept and properties of spatial structural features

and divides the spatial structural feature into three levels: pixel structure

object structure and scene structure. Then

a systematic review on recent development of spatial structural feature description and modeling methods is presented. The review focuses on the basic principles and research status of these methods

and some advantages and drawbacks are pointed out. Finally

conclusions are drawn and future research directions are discussed.