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Current plans call for the first Terrestrial Planet Finder mission, TPF-C, tobe a monolithic space telescope with a coronagraph for achieving high contrast.The coronagraph removes the diffracted starlight allowing the nearby planet tobe detected. In this paper, we present a model of the planet measurement andnoise statistics. We utilize this model to develop two planet detectionalgorithms, one based on matched filtering of the PSF and one using Bayesiantechniques. These models are used to formulate integration time estimates for aplanet detection with desired small probabilities of false alarms and misseddetections

Linear and Bayesian Planet Detection Algorithms for theTerrestrial Planet Finder