UAV image segmentation using a pulse-coupled neural network for land analysis

Abstract

This chapter presents a pulse-coupled neural network architecture, PCNN, to segment imagery acquired with UAV images. The images correspond to normalized difference vegetation index values. The chapter describes the image analysis system design, the image acquisition elements, the original PCNN architect, the simplified PCNN, the automatic parameter setting methodology, and qualitative and quantitative results of the proposed method using real aerial images.