Neural based Rotation and Scale Independent Detection of Targets in a Hyperspectral Waterway Monitoring System

This paper is devoted to the presentation of the orientation and scale invariant detection subsystem within the current development of Hywacoss (Hyperspectral waterway control and security system). A neural network ensemble based identification and rotation detection module is considered in order to be able to detect and classify objects in waterways from hyperspectral image cubes in a fast and efficient manner. The neural approach followed is inspired by the orientation detection structures in the visual processing cortex. The system is tested over two different hyperspectral image cubes extracted from simulated waterways to verify its adequate operation.