A Comparison of MWIR and LWIR Imaging Systems with regard to Range Performance

Date

2018-04-18

Author

Turgut, Berk Berkan
Artan, Goktug Gencehan
Bek, Alpan

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

454
views

0
downloads

Range performance of an imaging system is a key factor for an infrared search and tracking system with a purpose of detection, recognition and identification. Therefore, the prediction of the expected range performance is of utmost importance. The range prediction includes many variables that affect the outcome. Wavelength is one of the most important parameters because it has an enormous effect on range, but detector technology directly related to range performance. In this study, MWIR and LWIR imaging systems in certain configurations are modelled and analyzed in terms of range. The imaging system is modelled taking into account the properties of the detector and the optics, while the atmospheric conditions is modelled using MODTRAN. Analytical expressions for detection, recognition and identification ranges with respect to Johnson criteria for different target types are derived. The effects of the given parameters to the range performance are examined and a comparison between the different wavelengths is discussed.

Subject Keywords

MWIR, LWIR, Imaging system, Radiometry, Range performance, DRI

URI

https://hdl.handle.net/11511/40859

DOI

https://doi.org/10.1117/12.2311868

Collections

Department of Physics, Conference / Seminar

Suggestions

OpenMETU
Core

A multimodal approach for individual tracking of people and their belongings Beyan, Çiğdem; Temizel, Alptekin (2015-04-01) In this study, a fully automatic surveillance system for indoor environments which is capable of tracking multiple objects using both visible and thermal band images is proposed. These two modalities are fused to track people and the objects they carry separately using their heat signatures and the owners of the belongings are determined. Fusion of complementary information from different modalities (for example, thermal images are not affected by shadows and there is no thermal reflection or halo effect in...
Radiometric Features for Vehicle Classification with Infrared Images Ozsarac, Seckin; Akar, Gözde (2017-04-11) A vehicle classification system, which uses features based on radiometry, is developed for single band infrared (IR) image sequences. In this context, the process is divided into three components. These are moving vehicle detection, radiance estimation, and classification. The major contribution of this paper lies in the usage of the radiance values as features, other than the raw output of IR camera output, to improve the classification performance of the detected objects. The motivation behind this is tha...
A comparative study of tracking algorithms in underwater environment using sonar simulation Ege, Emre; Saranlı, Afşar; Department of Electrical and Electronics Engineering (2007) Target tracking is one the most fundamental elements of a radar system. The aim of target tracking is the reliable estimation of a target's true state based on a time history of noisy sensor observations. In real life, the sensor data may include substantial noise. This noise can render the raw sensor data unsuitable to be used directly. Instead, we must filter the noise, preferably in an optimal manner. For land, air and surface marine vehicles, very successful filtering methods are developed. However, bec...
A Comparison of sparse signal recovery and approximate bayesian inference methods for sparse channel estimation Uçar, Ayla; Candan, Çağatay; Department of Electrical and Electronics Engineering (2015) The concept of sparse representation is one of the central methodologies of modern signal processing and it has had significant impact on numerous application fields such as communications and imaging. Sparsity expresses the idea that the information rate of a continuous time signal may be much smaller than suggested by its bandwidth, or that a discrete time signal depends on a number of degrees of freedom which is comparably much smaller than its (finite) length. With recent advances in sparse signal estim...
Optimal design of sparse mimo arrays for wideband near-field imaging based on a statistical framework Kocamış, Mehmet Burak; Öktem, Sevinç Figen; Department of Electrical and Electronics Engineering (2018) Wideband near-field imaging is an emerging remote sensing technique in various applications such as airport security, surveillance, medical diagnosis, and through-wall imaging. Recently, there has been increasing interest in using sparse multiple-input-multiple-output (MIMO) arrays to achieve high resolution with reduced hardware complexity and cost. In this thesis, based on a statistical framework, an optimal design method is presented for two-dimensional MIMO arrays in wideband near-field imaging. Differe...

Citation Formats

B. B. Turgut, G. G. Artan, and A. Bek, “A Comparison of MWIR and LWIR Imaging Systems with regard to Range Performance,” 2018, vol. 10625, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/40859.