A Dataset Preparation and Augmentation Method for Improving Infrared Small-Object Detection Algorithms Based on Neural Networks
This paper introduces a deterministic, spatially constrained dataset augmentation framework explicitly designed to support convolutional neural network architectures for infrared small-target detection. The framework is tailored for targetdetection algorithms that, instead of evaluating entire image frames globally, fo...