Noise modeling and estimation in image sequences from thermal infrared cameras

2004 ◽  
Author(s):  
Luciano Alparone ◽  
Giovanni Corsini ◽  
Marco Diani
Keyword(s):  
Thermal Infrared ◽  
Image Sequences ◽  
Noise Modeling ◽  
Infrared Cameras

scholarly journals Assessment of Cracking Widths in a Concrete Wall Based on TIR Radiances of Cracking

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4980
Author(s):  
Tung-Ching Su
Keyword(s):  
Crack Detection ◽  
Thermal Infrared ◽  
Subtropical Climate ◽  
Architectural Style ◽  
Concrete Wall ◽  
Concrete Crack ◽  
Operation Procedure ◽  
Historic House ◽  
Multiple Measurements ◽  
Infrared Cameras

The techniques of concrete crack detection, as well as assessments based on thermography coupled with ultrasound, have been presented in many works; however, they have generally needed an additional source of thermal infrared (TIR) radiance and have only been applied in laboratories. Considering the accessibility of thermal infrared cameras, a TIR camera (NEC F30W) was employed to detect cracking in the concrete wall of an historic house with a western architectural style in Kinmen, Taiwan, based on the TIR radiances of cracking. An operation procedure involving a series of image processing and statistical analysis processes was designed to evaluate the performance of the TIR camera in the assessment of the cracking width. This procedure using multiple measurements was implemented from March to August 2019, and the t-tests indicated that the temperature differences between the inside and outline of the concrete cracks remained insignificant as the temperature or relative humidity (RH) in the subtropical climate rose. The experimental results of the operation procedure indicated that the maximum focusing range, which is related to the size of the sensor array, and the minimum detectable crack width of a TIR camera should be 1.0 m and 6.0 mm, respectively, in order to derive a linear regression model with a determination coefficient R2 of 0.733 to estimate the cracking widths, based on the temperature gradients. The validation results showed that there was an approximate R2 value of 0.8 and a total root mean square error of ±2.5 mm between the cracking width estimations and the observations.

Pixel-wise real-time advanced calibration method for thermal infrared cameras

2010 ◽  
Author(s):  
Pierre Tremblay ◽  
Louis Belhumeur ◽  
Martin Chamberland ◽  
André Villemaire ◽  
Patrick Dubois ◽  
...  
Keyword(s):  
Real Time ◽  
Thermal Infrared ◽  
Calibration Method ◽  
Infrared Cameras

Regional Characterisation of Soils from Ground, Air and Space

2020 ◽  
Author(s):  
Uwe Meyer ◽  
Michaela Frei ◽  
Elke Fries
Keyword(s):  
Gamma Ray ◽  
Soil Classification ◽  
Thermal Infrared ◽  
Gamma Ray Spectrometry ◽  
Sensing Systems ◽  
Federal Institute ◽  
Infrared Cameras ◽  
Thermal Infrared Imagery ◽  
Remote Sensing Techniques ◽  
Self Organising Map

<p>The Federal Institute for Geosciences and Natural Resources has recently launched a project to characterise soils and soil patterns using smart sets of newly developed and existing technologies on regional scales. The focus lies on the combination of airborne geophysical tools like gamma ray spectrometry and remote sensing techniques such as VIS-NIR-SWIR-LWIR hyperspectral and thermal infrared imagery. In order to calibrate the measurements all given methods will be implemented on ground and on soil samples in the laboratory. Additionally, geochemical, mineralogical and physical investigations well established in soil sciences will be incorporated. The aim is to map and evaluate the physical properties acquired from drones, helicopter and satellites. Using statistical methods and means of artificial intelligence areas of homogeneous physical soil properties will be determined.  The resulting areas will be compared to soil classification maps and the distribution of soil substrates. Self organising map systems will be used for correlation of homogeneous areas and later interpretation. Major care will be taken to reduce effects from varying soil moisture and surface vegetation. The presentation will focus on ground based, airborne and space platforms and their instrumentation and current developments. Apart from off-road vehicles at least three different sets of drones will be used for detailed surveying, implementing newly developed gamma ray sensing systems, hyperspectral and thermal infrared cameras. The BGR helicopter will be equipped with a high-end gamma spectrometer and imaging hyperspectral sensors. We envisage using future hyperspectral EnMAP data to evaluate it against the helicopter results and further up- and downscaling strategies.</p>

scholarly journals Overview of the research work of Dr. Fukuhara in thermal infrared cameras across Hyabusa2, Akatsuki, Wildfire Monitoring and Lunar Flares

Impact ◽  
2020 ◽  
Vol 2020 (5) ◽  
pp. 33-35
Author(s):  
Tetsuya Fukuhara
Keyword(s):  
Infrared Thermography ◽  
Space Exploration ◽  
Research Work ◽  
Thermal Infrared ◽  
Assistant Professor ◽  
Space Travel ◽  
Uncooled Microbolometer ◽  
Infrared Cameras

A technology that has only been recently introduced into astronomy and space exploration is infrared thermography (IRT) using uncooled microbolometer arrays (UMBA) to capture images. Assistant Professor Tetsuya Fukuhara, from the Department of Physics at Rikkyo University, Tokyo, Japan has been pioneering its use and over the last decade he has proved that UMBA IRT can uncover novel astronomical phenomena, help guide space travel and potentially allow satellites to stay precisely and accurately on orbit.

scholarly journals Drone-Assisted Aerial Surveys of Large Animals in Siberian Winter Forests

2020 ◽  
Author(s):  
Victor Atuchin ◽  
Alexander Prosekov ◽  
Anna Vesnina ◽  
Alexander Kuznetsov
Keyword(s):  
Nature Reserve ◽  
Effective Means ◽  
Thermal Infrared ◽  
Animal Population ◽  
Winter Conditions ◽  
State Nature Reserve ◽  
Infrared Cameras ◽  
Large Animals ◽  
Real State ◽  
State Nature

Abstract There are two main reasons for monitoring the population of forest animals. First of all, regular surveys reveal the real state of biodiversity. Second, they guarantee a prompt response to any negative environmental factor that affects the animal population and make it possible to eliminate the threat before any permanent damage has been done. The research objective was to study the potential of drone planes equipped with thermal infrared imaging cameras. Drone planes proved effective in covering large areas, while thermal infrared cameras provided accurate statistics in the harsh winter conditions of Siberia. The research featured the population of the European elk (Alces alces), which is gradually deteriorating due to poaching and deforestation. The surveyed territory included the Salair State Nature Reserve in the Kemerovo Region, or Kuzbass (Russia). The authors developed an effective methodology for processing the data obtained from drone-mounted thermal infrared cameras. The research provided reliable results concerning the changes in the elk population on the territory in question. The use of drone planes proved an effective means of ungulate animal survey on large areas of Siberian winter forests.

scholarly journals Measuring Cloud Cover and Brightness Temperature with a Ground-Based Thermal Infrared Camera

2008 ◽  
Vol 47 (2) ◽  
pp. 683-693 ◽  
Author(s):  
Stephen Smith ◽  
Ralf Toumi
Keyword(s):  
Brightness Temperature ◽  
Cloud Cover ◽  
Infrared Camera ◽  
Thermal Infrared ◽  
Cloud Base ◽  
Clear Sky ◽  
Brightness Temperatures ◽  
External Data ◽  
Infrared Cameras ◽  
Two Parameters

Abstract Thermal infrared cameras can be used to monitor clouds and the sky at high spatial and temporal resolutions. In particular, this study shows that, without the need for any external data, cloud cover can be retrieved both day and night over a field of view extending to zenith angles of ∼80°. Zenith clear sky temperatures are estimated for cloud cover up to 80%. During periods of 50% cloud cover or more the cloud-base brightness temperatures (CBBTs) can be calculated to an accuracy of ±1 K. These calculations are made possible by using a new parameterization for the variation of sky brightness temperature with zenith angle. Both clear and cloudy conditions are found to follow this simple empirical equation more closely than the widely used parameterization of Unsworth and Monteith. A simple, angle-dependent threshold system based on cloud transmittance can then be used to retrieve cloud cover, and clear sky temperature and CBBT are calculated using the two parameters resulting from the fitting process.

scholarly journals A Mask-Based Approach for the Geometric Calibration of Thermal-Infrared Cameras

2012 ◽  
Vol 61 (6) ◽  
pp. 1625-1635 ◽  
Author(s):  
Stephen Vidas ◽  
Ruan Lakemond ◽  
Simon Denman ◽  
Clinton Fookes ◽  
Sridha Sridharan ◽  
...  
Keyword(s):  
Thermal Infrared ◽  
Geometric Calibration ◽  
Infrared Cameras
Sign in / Sign up

Export Citation Format

Share Document