Improved hyperspectral image processing algorithm testing using synthetic imagery and factorial designed experiments

IEEE Transactions on Geoscience and Remote Sensing

Volumn 48, Issue 3 PART 1, 2010, Pages 1211-1223

  Bellucci, Joseph P ^a   Smetek, Timothy E ^b   Bauer, Kenneth W ^b  

^a Langley Air Force Base   (United States)

^b AIR FORCE INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Anomaly detection; Blocked adaptive computationally efficient outlier nominator (BACON) detector; Experimental design; Image generation; Nested factorial designs; Remote sensing; RX detector; Synthetic hyperspectral imaging

Indexed keywords

ANOMALY DETECTION; COMPUTATIONALLY EFFICIENT; FACTORIAL DESIGN; HYPERSPECTRAL IMAGING; IMAGE GENERATIONS; RX DETECTORS;

DESIGN OF EXPERIMENTS; IMAGE PROCESSING; REMOTE SENSING;

ALGORITHMS;

ALGORITHM; DATA SET; DETECTION METHOD; EXPERIMENTAL DESIGN; GROUND COVER; IMAGE CLASSIFICATION; IMAGE PROCESSING; REMOTE SENSING; SENSOR; SPECTRAL ANALYSIS;

EID: 77958572610     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2009.2029331     Document Type: Article

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