A comparative analysis of classification methods for hyperspectral images generated with conventional dimension reduction methods
نویسندگان
چکیده
منابع مشابه
Impact of linear dimensionality reduction methods on the performance of anomaly detection algorithms in hyperspectral images
Anomaly Detection (AD) has recently become an important application of hyperspectral images analysis. The goal of these algorithms is to find the objects in the image scene which are anomalous in comparison to their surrounding background. One way to improve the performance and runtime of these algorithms is to use Dimensionality Reduction (DR) techniques. This paper evaluates the effect of thr...
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Min Zhang Ji Zhu Department of Mechanical Engineering Department of Statistics The University of Michigan The University of Michigan Ann Arbor, MI 48109-2136 Ann Arbor, MI 48109-2136 Email: [email protected] Email : [email protected] Phone: 1 734-764-5391 Phone : 1 734-936-2577 Fax : 1 734-936-0363 Dragan Djurdjanovic Jun Ni Department of Mechanical Engineering Department of Mechanical Engineerin...
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ژورنال
عنوان ژورنال: TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES
سال: 2017
ISSN: 1300-0632,1303-6203
DOI: 10.3906/elk-1503-167