Tracking in Aerial Hyperspectral Videos Using Deep Kernelized Correlation Filters
Tracking in Aerial Hyperspectral Videos Using Deep Kernelized Correlation Filters
Hyperspectral imaging holds enormous potential to improve the state of the art in aerial vehicle tracking with low spatial and temporal resolutions. Recently, adaptive multimodal hyperspectral sensors have attracted growing interest due to their ability to record extended data quickly from aerial platforms. In this paper, we apply popular concepts …