This paper presents a Bayesian fusion technique for remotely sensed multi-band images.
The observed images are related to the high spectral and high spatial resolution image to be …

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 …

All rights are solely and exclusively licensed by the Publisher, whether the whole or part of
the material is concerned, specifically the rights of translation, reprinting, reuse of …

Hyperspectral cameras provide unique spectral signatures that can be used to solve
surveillance tasks. This paper proposes a novel real-time hyperspectral likelihood maps …

Target tracking has received increased attention in the past few decades. However, most of
the target tracking algorithms are based on RGB video data, and few are based on …

The astronomical community continues to be interested in suitable programmable slit masks
for use in multiobject spectrometers (MOSs) on space missions. There have been ground …

Abstract Dynamic Data Driven Applications Systems (DDDAS) is a paradigm for systems
analysis and design and a framework that dynamically integrates comprehensive, first …

Despite recent progress in computer vision, finegrained interpretation of satellite images
remains challenging because of a lack of labeled training data. To overcome this limitation …

Abstract Dynamic Data Driven Applications Systems (DDDAS) is a paradigm for systems
analysis and design, and a framework that dynamically couples high-dimensional physical …

Tracking vehicles through dense environments is an important and challenging task that is
mostly tackled using visible and near IR wavelengths. Hyperspectral imaging is known to …