Teledyne Imaging Sensors: infrared imaging technologies for astronomy and civil space

2008 ◽  
Author(s):  
James W. Beletic ◽  
Richard Blank ◽  
David Gulbransen ◽  
Donald Lee ◽  
Markus Loose ◽  
...  
Keyword(s):  
Infrared Imaging ◽  
Imaging Technologies ◽  
Imaging Sensors

scholarly journals Infrared Imaging Sensors: An Integrated Flexible All‐Nanowire Infrared Sensing System with Record Photosensitivity (Adv. Mater. 16/2020)

2020 ◽  
Vol 32 (16) ◽  
pp. 2070126
Author(s):  
Wenhao Ran ◽  
Lili Wang ◽  
Shufang Zhao ◽  
Depeng Wang ◽  
Ruiyang Yin ◽  
...  
Keyword(s):  
Infrared Imaging ◽  
Infrared Sensing ◽  
Sensing System ◽  
Imaging Sensors

scholarly journals Substrate-Based Near-Infrared Imaging Sensors Enable Fluorescence Lifetime Contrast via Built-in Dynamic Fluorescence Quenching Elements

ACS Sensors ◽  
2016 ◽  
Vol 1 (4) ◽  
pp. 427-436 ◽  
Author(s):  
Anand T. N. Kumar ◽  
William L. Rice ◽  
Jessica C. López ◽  
Suresh Gupta ◽  
Craig J. Goergen ◽  
...  
Keyword(s):  
Fluorescence Quenching ◽  
Fluorescence Lifetime ◽  
Near Infrared ◽  
Infrared Imaging ◽  
Near Infrared Imaging ◽  
Imaging Sensors ◽  
Dynamic Fluorescence

Novel Electro-Optic Imaging Technologies for Day/Night Oil Spill Detection

2014 ◽  
Vol 2014 (1) ◽  
pp. 299609
Author(s):  
Toomas H. Allik ◽  
Roberta E. Dixon ◽  
Lenard V. Ramboyong ◽  
Mark Roberts ◽  
Thomas J. Soyka ◽  
...  
Keyword(s):  
Oil Spill ◽  
Infrared Imaging ◽  
Imaging Techniques ◽  
Spectral Characteristics ◽  
Laboratory Data ◽  
Field Tests ◽  
Light Level ◽  
Test Facility ◽  
Imaging Technologies ◽  
Oil Spill Detection

Joint program between the U.S. Departments of the Interior and Defense to bring knowledge, expertise and military, low-light level and hyperspectral imaging technologies to remote oil spill detection. Program emphasis is to determine remote infrared imaging techniques for the quantification of oil spill thickness. Spectral characteristics of various crude oils in the SWIR (1–2 microns), MWIR (3–5 microns) and LWIR (8–12 microns) were measured. Analysis of laboratory data and Deepwater Horizon hyperspectral imagery showed the utility of the SWIR region to detect crude oil and emulsions. We have evaluated two SWIR wavelengths (1200 nm and 1250 nm) for thickness assessment. An infrared, 3-color imager is discussed along with field tests at the BSEE's Ohmsett test facility.

scholarly journals Discriminative Fusion Correlation Learning for Visible and Infrared Tracking

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Xiao Yun ◽  
Yanjing Sun ◽  
Xuanxuan Yang ◽  
Nannan Lu
Keyword(s):  
Infrared Imaging ◽  
Visible Spectrum ◽  
Background Information ◽  
Single Type ◽  
Computationally Efficient ◽  
Model Learning ◽  
Improve Model ◽  
Correlation Learning ◽  
Imaging Sensors ◽  
Infrared Tracking

Discriminative correlation filter- (DCF-) based trackers are computationally efficient and achieve excellent tracking in challenging applications. However, most of them suffer low accuracy and robustness due to the lack of diversity information extracted from a single type of spectral image (visible spectrum). Fusion of visible and infrared imaging sensors, one of the typical multisensor cooperation, provides complementarily useful features and consistently helps recognize the target from the background efficiently in visual tracking. Therefore, this paper proposes a discriminative fusion correlation learning model to improve DCF-based tracking performance by efficiently combining multiple features from visible and infrared images. Fusion learning filters are extracted via late fusion with early estimation, in which the performances of the filters are weighted to improve the flexibility of fusion. Moreover, the proposed discriminative filter selection model considers the surrounding background information in order to increase the discriminability of the template filters so as to improve model learning. Extensive experiments showed that the proposed method achieves superior performances in challenging visible and infrared tracking tasks.

scholarly journals Status Quo and Application of Middle and Long Wave Dual-band Infrared Imaging Technologies in Occident

2020 ◽  
Vol 42 (4) ◽  
pp. 312-319
Author(s):  
游 周 ◽  
廷海 彭 ◽  
灿兵 赵 ◽  
志刚 赵 ◽  
鑫 王 ◽  
...  
Keyword(s):  
Infrared Imaging ◽  
Status Quo ◽  
Dual Band ◽  
Imaging Technologies ◽  
Long Wave
Sign in / Sign up

Export Citation Format

Share Document