Signal processing in scanning sensors is dominated by two processing requirements: signal detection/peak extraction and multi-frame correlation. Techniques for the detection of target pulses and extraction of their peaks are outlined and compared in this paper. Pulse detection techniques discussed include matched filters, least-square filters, partial wave filtering, nonlinear filters, and pattern recognition. The problem of peak extraction in unresolved pulses is also discussed. Multiframe correlation techniques discussed include two-dimensional windowing, multi-dimensional windowing, polynominal tracking, vector correlation, and moment matching.