Texture feature selection for buried mine detection in airborne multispectral imagery

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 1, Issue 1, 2008, Pages 145-148

  Tiwari, Spandan ^a   Agarwal, Sanjeev ^b   Trang, Anh ^c  

^a Migma Systems Inc   (United States)

^b MISSOURI UNIVERSITY OF SCIENCE AND TECHNOLOGY   (United States)

^c US Army Research Development and Engineering Command   (United States)

Author keywords

Landmine detection; Texture features

Indexed keywords

EXPLOSIVES; GEOLOGY; LANDMINE DETECTION; REMOTE SENSING; TEXTURES;

AIRBORNE DATA; ANOMALY DETECTOR; CO-OCCURRENCE; COLOR-TEXTURE INFORMATION; FEATURE ANALYSIS; MULTI-SPECTRAL IMAGERY; TEXTURE FEATURES; TWO STAGE APPROACH;

FEATURE EXTRACTION;

EID: 67649755526     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2008.4778814     Document Type: Conference Paper

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