Recognition of natural objects on air photographs using neural networks
Margarita N. Favorskaya, N. Yu. Petukhov · Optoelectronics Instrumentation and Data Processing · 2011
This paper presents a method for recognizing natural objects on air photographs based on a two-level segmentation procedure and a complex calculation of statistical and fractal parameters using artificial neural networks to determine the category of a natural object and then the type of the object in the category determined. This method is effective for recognizing tree species on air photographs. The basic formulas for calculating the characteristics of natural textures are given, and the topology of the artificial neural networks used is substantiated.