Hyperspectral Image Segmentation

Research Project

The framework aims to automatically identify various regions within a hyperspectral image by classifying each pixel of the image and associating them to class segments. A multi-layer system will be developed, where each layer’s responsibility is to perform an operation on its input, generate region classification data, and pass the resultant output to the next layer. Importantly, each layer analyzes its input from distinct viewpoints, utilizing spectral and spatial data, resulting in a multi-layer frameworkwhere the layers complement each other. Since the system is highly parallelizable, we will exploit high performance computing (HPC) tools and resources to achieve a real-time performance.