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Many anomaly detectors have been proposed in the literature. They differ in the way the\nbackground is characterized and in the method used for determining the difference between the current pixel and\nthe background. The most well\u2010known anomaly detector is the RX detector that calculates the Mahalanobis distance\nbetween the pixel under test (PUT) and the background. Global RX characterizes the background of the complete\nscene by a single multivariate normal probability density function. In many cases, this model is not appropriate\nfor describing the background. For that reason a variety of other anomaly detection methods have been developed. \nThis paper examines three classes of anomaly detectors: subspace methods, local methods, and segmentation\u2010based\nmethods. Representative examples of each class are chosen and applied on a set of hyperspectral data with diverse\ncomplexity. The results are evaluated and compared.<\/jats:p>","DOI":"10.1155\/2012\/162106","type":"journal-article","created":{"date-parts":[[2012,11,6]],"date-time":"2012-11-06T21:00:36Z","timestamp":1352235636000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Hyperspectral Anomaly Detection: Comparative Evaluation in Scenes with Diverse Complexity"],"prefix":"10.1155","volume":"2012","author":[{"given":"Dirk","family":"Borghys","sequence":"first","affiliation":[]},{"given":"Ingebj\u00f8rg","family":"K\u00e5sen","sequence":"additional","affiliation":[]},{"given":"V\u00e9ronique","family":"Achard","sequence":"additional","affiliation":[]},{"given":"Christiaan","family":"Perneel","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2012,11,6]]},"reference":[{"key":"e_1_2_10_1_2","doi-asserted-by":"publisher","DOI":"10.1109\/79.974730"},{"key":"e_1_2_10_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/MAES.2010.5546306"},{"key":"e_1_2_10_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/29.60107"},{"key":"e_1_2_10_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2002.800280"},{"key":"e_1_2_10_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2004.841487"},{"key":"e_1_2_10_6_2","doi-asserted-by":"crossref","unstructured":"SchaumA. 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