Abstract: This paper studies the spatial pattern of sail ponds in south coast of Yingkou as example. The high resolution remote sensing images were employed to obtain coastal salt pond engineer information. And the classification technique flow of remote sensing image for spatial pattern of coastal salt pond engineer based on objectoriented method is established. Then spatial pattern characteristics of salt ponds engineer and its change was analyzed. The result show that the objectoriented method for high resolution satellite remote sensing images can classify spatial pattern of coastal salt ponds engineer to tidal pond， evaporation pond， primary brine pond， intermediate brine pond， senior brine pond， crystallizing pond， salt storage pond， and other types such as fishing pond， building land， grassland and wetland. As results， the area ratio of tidal pond， evaporate pond， brine pond， crystallizing pond， salt storage pond in the north China coast is 15∶45∶26∶4∶1. The spatial pattern of salt pond engineer has changed obviously by intensity human activities. Contraction intensity of tidal pond and evaporation pond are 13.67 and 8.08， while for grassland and building land are -10.27 and -25.41．