نتایج جستجو برای: lwir

تعداد نتایج: 274  

2005
CHESTER F. CARLSON Carl Salvaggio

The goal of this research was to develop an algorithm for identifying the constituent gases in stack releases. At the heart of the algorithm is a stepwise linear regression technique that only includes a basis vector in the model if it contributes significantly to the fit. This significance is calculated by an F -statistic. Issues such as atmospheric compensation, gas absorption and emission, b...

2013
Eric A. DeCuir Gregory P. Meissner Priyalal S. Wijewarnasuriya Nutan Gautam Sanjay Krishna Nibir K. Dhar Roger E. Welser Ashok K. Sood

The performance of a long-wave infrared type-II InAs/GaSb superlattice photodetector with a 50% cutoff wavelength of approximately 8.7 μm is presented. The ability to lower dark current densities over traditional P-type-Intrinsic-N-type diodes is offered by way of hetero-structure engineering of a pBiBn structure utilizing superlattice p-type (p) and n-type (n) contacts, an intrinsic (i) superl...

Journal: :Electronics 2023

Unsupervised image-to-image translation techniques have been used in many applications, including visible-to-Long-Wave Infrared (visible-to-LWIR) image translation, but very few papers explored visible-to-Mid-Wave (visible-to-MWIR) translation. In this paper, we investigated unsupervised visible-to-MWIR using generative adversarial networks (GANs). We proposed a new model named MWIRGAN for full...

2008
Sarath Gunapala David Ting Sumith Bandara Cory Hill Edward Blazejewski Sanjay Krishna

Potential uses for light detectors operating in the 8–15μmwavelength range include groundand space-based applications such as night vision, temperature detection, early warning systems, navigation, flight control systems, weather monitoring, as well as security and surveillance. In addition, they can be used to monitor and measure pollution, relative humidity profiles, and the distribution of d...

2013
Torin Gerhart Justin Sunu Lauren Lieu Ekaterina Merkurjev Jen-Mei Chang Jérôme Gilles Andrea L. Bertozzi

Automated detection of chemical plumes presents a segmentation challenge. The segmentation problem for gas plumes is difficult due to the diffusive nature of the cloud. The advantage of considering hyperspectral images in the gas plume detection problem over the conventional RGB imagery is the presence of non-visual data, allowing for a richer representation of information. In this paper we pre...

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