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Therefore, in a previous work, we have applied this approach to the reset and signal level images of a short-wave infrared laser GV camera whose read-out integrated circuit is capable of correlated double sampling originally designed for the reduction of kTC noise (reset noise). This camera consists of a 640 x 512 avalanche photodiode focal plane array based on mercury cadmium telluride with a pixel pitch of 15 μm. The great advantage of this idea is the fact that these images are extracted from only one single laser pulse with a marginal time difference in between. This allows 3D imaging of fast moving objects. However, a drawback of this method is the very limited 3D range in which 3D reconstruction is possible.
In this paper, we describe and discuss two measures to extend the 3D range. First, refining the algorithm for 3D reconstruction is investigated, particularly using a quadratic model instead of a linear model as in previous work. Second, we use an illumination laser with longer pulse duration than before to study the influence of laser pulse length on 3D range in real experiments. Based on these measured data, we simulate further temporal stretching of the laser pulse, to evaluate the potential of this approach to extend the 3D range.
Therefore, we have applied this approach to the reset and signal level images of a new short-wave infrared (SWIR) GV camera whose read-out integrated circuit supports correlated double sampling (CDS) actually intended for the reduction of kTC noise (reset noise). These images are extracted from only one single laser pulse with a marginal time difference in between.
The SWIR GV camera consists of 640 x 512 avalanche photodiodes based on mercury cadmium telluride with a pixel pitch of 15 μm. A Q-switched, flash lamp pumped solid-state laser with 1.57 μm wavelength (OPO), 52 mJ pulse energy after beam shaping, 7 ns pulse length and 20 Hz pulse repetition frequency is used for flash illumination.
In this paper, the experimental set-up is described and the operating principle of CDS is explained. The method of deriving super-resolution depth information from a GV system by using CDS is introduced and optimized. Further, the range accuracy is estimated from measured image data.
In this paper, we investigate experimentally the vibration detection from short- and mid-wave IR image sequences using high speed imaging technique. Experiments on the extraction of vibration signature under strong local turbulence conditions are presented.
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