A Novel High Resolution Satellite Imagery Object Detection Based on Derivative of Double Exponential

This paper presents a novel approach of detecting special objects from high resolution satellite imagery.In this approach,a bilateral filtering is used to reduce the noise firstly,and a morphology approach is proposed for ROI extraction and feature enhancement.A detection operator based on the derivative of the double exponential(DODE) is developed to detect enhanced objects.The operator is designed according to special objects.The experiments which include vehicle detection and ship detection from Google Earth images are discussed.The experimental results show that proposed approach is effective and feasible.