1. A system for anomaly resistant detection and identification of an object signature in hypersensor data, comprising: a chemical hypersensor which senses multiple different attributes of a chemical gas or vapor at each of multiple different observation times sensed by the chemical hypersensor and generates hypersensor data; and a mask and filter module configured to receive and process the hypersensor data to iteratively evolve a training mask that classifies pixels into one of a group of classes consisting of a first class of pixels that includes common background, and a second class of pixels that includes target and anomaly pixels, the target and anomaly pixels being suspected target-bearing pixels and pixel spectra with anomalous or unusual signatures, respectively, and a matched filter computed from the common background only, wherein the training mask is iteratively updated using products of the matched filter only; and an anomaly suppression module configured to receive and process information pertaining to the matched filter and the common background, target and anomaly pixels to determine for one or more targets a set of mutually orthogonal matched filters, use the mutually orthogonal matched filters to produce a vector of filter products for different spectra of the common background, target and anomaly pixels, and compare elements of the vectors to determine whether pixel spectrum should be rejected as an anomaly.