Application of dynamic neural network to search for objects in images

Automatic search of objects on aerial photography allows reduce redundancy of transmitted and stored data, decrease image processing time. This paper suggests a scenario of aerial image processing, inclusive the neural networks based classification of images, filtering, binarization, searching for predetermined objects, detecting roads, and binding objects to the terrain on the basis of cross-correlation function.