Assumptions Based On The Multi-level Infrared Small Target Detection Algorithm

The technology of point target recognition and detection in low SNR infraredimage sequences is a difficult subject in the field of image processing and targetrecognition in recent years.Due to the low SNR and the target is overflowed by noise, the preprocessing is important to the whole detection .. In this article, three prewhitening algorithms are recommended, one is high-pass filter, and the others are adaptive filter and morphology filter. Each way has its own advantage and disadvantage; the right one can be chosen by the actual scene and the expectation.What is followed is the introduction of two detecting algorithm based on the TBD, which is , multiple hypotheses testing (MHST) and Dynamic programming (DP) . The emluator show us that using this two methods can detect small target accurately, but they take system unendurable memory and computation, it must be improved to use in fact.At last, an Update algorithm combining the multistage thresholds of MHT with DP theory. This action hold the accuracy of the DP algorithm, at the same time, it save the memory and computation of system.