Broadband laser ranging (BLR) is essentially a spectral interferometer used to infer distance to a moving target. The light source is a mode-locked fiber laser, and chromatic dispersion maps the spectral interference pattern into the time domain, yielding chirped beat signals at the detector. A BLR record is a sequence of these chirped signals, representing consecutive target positions. To infer distance to a target, each underlying pulse envelope must be consistently registered and subtracted despite environmentally-induced variability. Then, nonlinear transformation of the phase is applied to remove the chirp, an FFT is performed to determine the peak frequency of the de-chirped signal, and a calibration factor relating de-chirped frequency to distance results in target position. Here, these analysis steps are discussed in detail.
In surveillance and remote sensing applications images are often subject to processing both at the sensor and for
display/storage. This paper presents a step towards measuring and understanding how these processes impact on human
interpretation of regions of similar statistics within images. The paper describes the methods involved, including image
generation, image processing algorithm application, and algorithm impact measurement techniques. A comparison is
then made between the impact measurements and human observations. It is suggested that data on mathematical
measures of the impact of processing algorithms on statistical regions of images may be usable for intelligent algorithm