Active contour model, well known as snakes are used to extract objects like land parcels and buildings from high resolution satellite imageries like IKONOS and Quickbird. Object extraction from satellite imagery has more a long history. However, increasing image variation, required level of details and higher resolution imagery acquired, object extractions have to be improved continuously. Evolutionary computing approaches can enhance satellite imagery's object extraction. This paper discusses the prototyping of a Genetic Algorithm (GA) and Neural Network (NN) snake. The coefficients for snake energy obtained through GANN are compared with ordinary snake for performance.