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As an effective assistant method, remote sensing technology has been used in metallogenic deposit prognosis for many years. One key application is to identify regional structures by using remote sensing images. However, there is not a very effective way to do so yet. This paper presents a regional structures identification model by using remote sensing images, and the method of automatic extracting feature information from remotesensing images, and recognizing regional structures through spatial correlative analysis with gravitation, magnetic information, which includes remote sensing data processing, linear and circular structures extraction, and spatial correlative analysis of gravitation, magnetic and remote sensing information.

The Study of Regional Structures Identification by Using Remote Sensing Images in Metallogenic Deposit Prognosis