Deploying a Thermal Infrared Imaging System (TIRIS) for High Spatial and Temporal Resolution Crop Water Stress Monitoring of Corn within a Greenhouse

2015 ◽  
Keyword(s):  
Water Stress ◽  
Temporal Resolution ◽  
Infrared Imaging ◽  
Imaging System ◽  
Thermal Infrared ◽  
Crop Water ◽  
Stress Monitoring ◽  
Thermal Infrared Imaging ◽  
Infrared Imaging System ◽  
Crop Water Stress

Research on spatial noise of high resolution thermal infrared imaging system

2014 ◽  
Author(s):  
Hongzhen Ji ◽  
Chunlai Li ◽  
Xiaowen Chen ◽  
Jian Jin ◽  
Liyin Yuan ◽  
...  
Keyword(s):  
High Resolution ◽  
Infrared Imaging ◽  
Imaging System ◽  
Thermal Infrared ◽  
Thermal Infrared Imaging ◽  
Infrared Imaging System ◽  
Spatial Noise

scholarly journals A 3D Mask Presentation Attack Detection Method Based on Polarization Medium Wave Infrared Imaging

Symmetry ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 376
Author(s):  
Pengcheng Sun ◽  
Dan Zeng ◽  
Xiaoyan Li ◽  
Lin Yang ◽  
Liyuan Li ◽  
...  
Keyword(s):  
Infrared Imaging ◽  
Imaging System ◽  
Thermal Infrared ◽  
Attack Detection ◽  
Infrared Light ◽  
Facial Appearance ◽  
Light Sources ◽  
Thermal Infrared Imaging ◽  
3D Face ◽  
Presentation Attack Detection

Facial recognition systems are often spoofed by presentation attack instruments (PAI), especially by the use of three-dimensional (3D) face masks. However, nonuniform illumination conditions and significant differences in facial appearance will lead to the performance degradation of existing presentation attack detection (PAD) methods. Based on conventional thermal infrared imaging, a PAD method based on the medium wave infrared (MWIR) polarization characteristics of the surface material is proposed in this paper for countering a flexible 3D silicone mask presentation attack. A polarization MWIR imaging system for face spoofing detection is designed and built, taking advantage of the fact that polarization-based MWIR imaging is not restricted by external light sources (including visible light and near-infrared light sources) in spite of facial appearance. A sample database of real face images and 3D face mask images is constructed, and the gradient amplitude feature extraction method, based on MWIR polarization facial images, is designed to better distinguish the skin of a real face from the material used to make a 3D mask. Experimental results show that, compared with conventional thermal infrared imaging, polarization-based MWIR imaging is more suitable for the PAD method of 3D silicone masks and shows a certain robustness in the change of facial temperature.

scholarly journals Challenges and Future Perspectives of Multi-/Hyperspectral Thermal Infrared Remote Sensing for Crop Water-Stress Detection: A Review

2019 ◽  
Vol 11 (10) ◽  
pp. 1240 ◽  
Author(s):  
Max Gerhards ◽  
Martin Schlerf ◽  
Kaniska Mallick ◽  
Thomas Udelhoven
Keyword(s):  
Remote Sensing ◽  
Water Stress ◽  
Water Status ◽  
Thermal Infrared ◽  
Hyperspectral Remote Sensing ◽  
Plant Responses ◽  
Plant Water ◽  
Stress Detection ◽  
Crop Water ◽  
Crop Water Stress

Thermal infrared (TIR) multi-/hyperspectral and sun-induced fluorescence (SIF) approaches together with classic solar-reflective (visible, near-, and shortwave infrared reflectance (VNIR)/SWIR) hyperspectral remote sensing form the latest state-of-the-art techniques for the detection of crop water stress. Each of these three domains requires dedicated sensor technology currently in place for ground and airborne applications and either have satellite concepts under development (e.g., HySPIRI/SBG (Surface Biology and Geology), Sentinel-8, HiTeSEM in the TIR) or are subject to satellite missions recently launched or scheduled within the next years (i.e., EnMAP and PRISMA (PRecursore IperSpettrale della Missione Applicativa, launched on March 2019) in the VNIR/SWIR, Fluorescence Explorer (FLEX) in the SIF). Identification of plant water stress or drought is of utmost importance to guarantee global water and food supply. Therefore, knowledge of crop water status over large farmland areas bears large potential for optimizing agricultural water use. As plant responses to water stress are numerous and complex, their physiological consequences affect the electromagnetic signal in different spectral domains. This review paper summarizes the importance of water stress-related applications and the plant responses to water stress, followed by a concise review of water-stress detection through remote sensing, focusing on TIR without neglecting the comparison to other spectral domains (i.e., VNIR/SWIR and SIF) and multi-sensor approaches. Current and planned sensors at ground, airborne, and satellite level for the TIR as well as a selection of commonly used indices and approaches for water-stress detection using the main multi-/hyperspectral remote sensing imaging techniques are reviewed. Several important challenges are discussed that occur when using spectral emissivity, temperature-based indices, and physically-based approaches for water-stress detection in the TIR spectral domain. Furthermore, challenges with data processing and the perspectives for future satellite missions in the TIR are critically examined. In conclusion, information from multi-/hyperspectral TIR together with those from VNIR/SWIR and SIF sensors within a multi-sensor approach can provide profound insights to actual plant (water) status and the rationale of physiological and biochemical changes. Synergistic sensor use will open new avenues for scientists to study plant functioning and the response to environmental stress in a wide range of ecosystems.

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