On detecting mines and minelike objects in highly cluttered multispectral aerial images by means of mathematical morphology

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3392, Issue , 1998, Pages 987-999

  Braga Neto, Ulisses M ^a   Goutsias, John I ^a  

^a Johns Hopkins University   (United States)

Author keywords

Automatic mine detection; Mathematical morphology; Maximum noise fraction transform; Multispectral image processing and analysis

Indexed keywords

ALARM SYSTEMS; CLUTTER (INFORMATION THEORY); ERRORS; IMAGE PROCESSING; IMAGING SYSTEMS; LEAD MINES; MATHEMATICAL MORPHOLOGY; MATHEMATICAL OPERATORS; MINES; MINING; MORPHOLOGY; POLLUTION; REMEDIATION;

AERIAL IMAGES; AUTOMATIC MINE DETECTION; BATTLE FIELDS; CONSTANT FALSE ALARM RATE ALGORITHMS; CRITICAL ISSUES; CRITICAL STEPS; MAXIMUM NOISE FRACTION TRANSFORM; MINE-LIKE OBJECTS; MNF TRANSFORMS; MORPHOLOGICAL OPERATORS; MULTI-SPECTRAL; MULTI-SPECTRAL DATUM; MULTISPECTRAL IMAGE PROCESSING AND ANALYSIS; NUMBER OF FALSE ALARMS; PERFORMANCE REQUIREMENTS; RELIABLE DETECTIONS; TWO-STEP METHODS;

MATHEMATICAL TRANSFORMATIONS;

EID: 0001377095     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.324146     Document Type: Conference Paper

References (9)

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