Fugitive methane emissions from the oil and gas industry are targeted using leak detection
and repair (LDAR) programs. Until recently, only a limited number of measurement …

Since the advent of hyperspectral remote sensing in the 1980s, it has made important
achievements in aerospace and aviation field and been applied in many fields …

We survey the current state of the art in industrial gas sensing, explaining how existing
sensing techniques estimate gas concentration, column density, total volume, and leak rate …

We consider the challenge of detection of chemical plumes in hyperspectral image data.
Segmentation of gas is difficult due to the diffusive nature of the cloud. The use of …

Hyperspectral imagery is a challenging modality due to the dimension of the pixels which
can range from hundreds to over a thousand frequencies depending on the sensor. Most …

We focus on the multi-class segmentation problem using the piecewise constant Mumford-
Shah model in a graph setting. After formulating a graph version of the Mumford-Shah …

Hyperspectral video sequences (HVSs) are well suited for gas plume detection (GPD). The
high spectral resolution allows the detection of chemical clouds even when they are optically …

We present an accurate and efficient graph-based algorithm for semi-supervised
classification that is motivated by recent successful threshold dynamics approaches and …

It is now possible to collect hyperspectral video sequences at a near real-time frame rate.
The wealth of spectral, spatial, and temporal information of those sequences is appealing for …

Networks capture pairwise interactions between entities and are frequently used in
applications such as social networks, food networks, and protein interaction networks, to …