Results 101 to 110 of about 3,543 (204)

Learning Unsupervised Cross-Domain Model for TIR Target Tracking

Mathematics
The limited availability of thermal infrared (TIR) training samples leads to suboptimal target representation by convolutional feature extraction networks, which adversely impacts the accuracy of TIR target tracking methods.
Xiu Shu, Feng Huang, Zhaobing Qiu, Xinming Zhang, Di Yuan   +4 more
doaj   +1 more source

Using thermal infrared (TIR) data to characterize dust storms and their sources in the Middle East [PDF]

, 2012
Mineral dust and aerosols can directly and indirectly influence shortwave and longwave radiative forcing. In addition, it can cause health hazards, loss of agricultural soil, and safety hazards to aviation and motorists due to reduced visibility ...
Mohammad, Redha
core  

Unsupervised Super-Resolution for UAV Thermal Imagery via Diffusion Models with Emissivity-Guided Texture Transfer

Remote Sensing
Due to hardware limitations of Thermal InfraRed (TIR) cameras, TIR images captured by Unmanned Aerial Vehicles (UAVs) suffer from Low Resolutions (LRs) and blurred textures.
Dong Liu, Min Sun, Xinyi Wang, Kelly Chen Ke   +3 more
doaj   +1 more source

Quantitative Deconvolution of Human Thermal Infrared Emittance

, 2012
The bioheat transfer models conventionally employed in etiology of human thermal infrared (TIR) emittance rely upon two assumptions; universal graybody emissivity and significant transmission of heat from subsurface tissue layers.
Arthur, Daniel, Khan, Masood
core   +1 more source

Assessment of Dust Size Retrievals Based on AERONET: A Case Study of Radiative Closure From Visible‐Near‐Infrared to Thermal Infrared

Geophysical Research Letters
Super‐coarse dust particles (diameters >10 μm) are evidenced to be more abundant in the atmosphere than model estimates and contribute significantly to the dust climate impacts.
Jianyu Zheng, Zhibo Zhang, Sergio DeSouza‐Machado, Claire L. Ryder, Anne Garnier, Claudia Di Biagio, Ping Yang, Ellsworth J. Welton, Hongbin Yu, Africa Barreto, Margarita Y. Gonzalez   +10 more
doaj   +1 more source

The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results

, 2016
The Thermal Infrared Visual Object Tracking challenge 2015, VOT-TIR2015, aims at comparing short-term single-object visual trackers that work on thermal infrared (TIR) sequences and do not apply pre-learned models of object appearance. VOT-TIR2015 is the
Khan, FS, Danelljan, M, Kristan, M, Bertinetto, L, Kieritz, H, Du, D, Zhu, J, Saffari, A, Torr, PHS, Zhu, G, Arens, M, Hübner, W, Lang, J, Leonardis, A, Ahlberg, J, Zhao, X, Montero, AS, Zhao, B, Xue, K, Chang, MC, ,, Hong, Z, Wen, L, Miksik, O, Hicks, SL, Qi, H, Becker, S, Schmid, C, Jeong, JC, Felsberg, M, Kim, JW, Zhu, SC, Garcia-Martin, A, Li, J, Li, H, Fernández, G, Porikli, F, Ma, L, Li, A, Matas, J, Ke, L, Wang, J, Cho, JI, Chen, D, Tang, M, Wu, T, Berg, A, Nebehay, G, Laganière, R, Choi, S, Yuan, Z, Golodetz, S, Hare, S, Alahari, K, Lukežič, A, Hua, Y, Vojír˜, T, Lu, H, Häger, G, Feng, J, Martin-Nieto, R, Li, Y, Lyu, S, Lu, Y, Pflugfelder, R, Lee, JY, Čehovin, L, Martinez, JM   +67 more
core  

Thermal Infrared Remote Sensing: Principles and Theoretical Background

Although the number of studies using remote sensing in the thermal infrared wavelength increased rapidly in the last ten years, the domain is still an often neglected sub-discipline within the field of remote sensing.
Dech, Stefan, Zhang, Jianzhong, Reiners, Philipp, Kuenzer, Claudia   +3 more
core   +1 more source

High-Resolution Thermal Mapping for Quantitative UAV–TIR Applications: A Methodological Review of Sensor Integration, Calibration, and Data Processing Decisions

Aerospace
Unmanned aerial vehicle (UAV)-mounted thermal infrared (TIR) sensors occupy a useful middle ground between sparse in situ measurements, occasional aircraft-based campaigns, and coarse satellite products, enabling centimeter-scale thermal mapping under ...
Kirim Lee, Wonhee Lee
doaj   +1 more source

The TIR instrument on TRISHNA satellite: a precursor of high resolution observation missions in the thermal infrared domain [PDF]

International Conference on Space Optics — ICSO 2020, 2021
Laurence Buffet, Philippe Gamet, Philippe Maisongrande, Corinne Salcedo, Philippe Crebassol   +4 more
openaire   +1 more source

Landsat 9 Thermal Infrared Sensor-2 (TIRS-2) Pre- and Post-Launch Spatial Response Performance

Remote Sensing
The launch of Landsat 9 (L9) on 27 September 2021 marks the ongoing commitment of the Landsat mission to delivering users with calibrated Earth observations for fifty years. The two imaging sensors on L9 are the Thermal Infrared Sensor-2 (TIRS-2) and the Operational Land Imager-2 (OLI-2).
Rehman S. Eon, Brian N. Wenny, Ethan Poole, Sarah Eftekharzadeh Kay, Matthew Montanaro, Aaron Gerace, Kurtis J. Thome   +6 more
openaire   +2 more sources