The high-resolution thermal infrared image, by which the information of a scene can be described in details, is extensively used in many fields including computer vision process, medicine, and remote sensing, etc. This paper introduces a super-resolution reconstruction algorithm in combination of phase related motion estimating algorithm and iterative back-projecting algorithm. Continuous frames of the thermal infrared image aerially shot are extracted, the subpixel displacement of each frame of image relative to the reference image is estimated with the phase related motion estimating algorithm, and then the subpixel displacement data acquired is combined with the iterative back-projecting algorithm to actualize the super-resolution reconstruction of thermal infrared image aerially shot. The thermal infrared images were aerially shot above Zhoushan. The experimental result has proven the image spatial resolution can be effectively improved by this algorithm.
As an optical remote sensing equipment, the thermal infrared hyperspectral imager operates in the thermal infrared
spectral band and acquires about 180 wavebands in range of 8.0~12.5μm. The field of view of this imager is 13° and the
spatial resolution is better than 1mrad. Its noise equivalent temperature difference (NETD) is less than
0.2K@300K(average). 1 The influence of background radiation of the thermal infrared hyperspectral imager,and a
simulation model of simplified background radiation is builded. 2 The design and implementationof the Cryogenic
Optics. 3 Thermal infrared focal plane array (FPA) and special dewar component for the thermal infrared hyperspectral
imager. 4 Parts of test results of the thermal infrared hyperspectral imager.The hyperspectral imaging system is
China’s first success in developing this type of instrument, whose flight validation experiments have already been
embarked on. The thermal infrared hyperspectral data acquired will play an important role in fields such as geological
exploration and air pollutant identification.
The application of high solution thermal infrared imaging system highly relies on the signal to noise ratio (SNR) of instruments to acquire images. To enhance the imaging quality of the thermal infrared imaging system, the noise model for images of the thermal infrared imaging system has been analyzed. Spatial noise elimination method is proposed, including the results of the comparison between different methods. With combination of the testing data of the thermal infrared imaging system, it is showed that the method mentioned in this paper can really enhance the spatial-domain NETD and spatial resolution of images effectively.