Failure Detection in Row Crops from UAV Images Using Morphological Operators

IEEE Geoscience and Remote Sensing Letters

Volumn 15, Issue 7, 2018, Pages 991-995

  Oliveira, Henrique C ^a   Guizilini, Vitor C ^b   Nunes, Israel P ^c   Souza, Jefferson R ^c  

^a UNIVERSITY OF CAMPINAS   (Brazil)

^b UNIVERSITY OF SYDNEY   (Australia)

^c FEDERAL UNIVERSITY OF UBERLÂNDIA   (Brazil)

Author keywords

Agriculture; morphological operators; unmanned aerial vehicle (UAV)

Indexed keywords

AGRICULTURE; ANTENNAS; CROPS; CULTIVATION; DECISION MAKING; DISEASES; IMAGE PROCESSING; MATHEMATICAL MORPHOLOGY; MATHEMATICAL OPERATORS; MATHEMATICAL TRANSFORMATIONS; SENSORS; TOOLS; UNMANNED AERIAL VEHICLES (UAV);

AERIAL IMAGES; EMPTY SPACE; FAILURE DETECTION; HIGH RESOLUTION; MORPHOLOGICAL OPERATOR; NOVEL METHODOLOGY; PLANTED AREAS; RGB IMAGES;

AIRCRAFT DETECTION;

AGRICULTURE; AIRBORNE SENSING; COFFEE; CROP; CULTIVATION; DECISION MAKING; MATHEMATICAL ANALYSIS; PRECISION AGRICULTURE;

EID: 85045309738     PISSN: 1545598X     EISSN: 15580571     Source Type: Journal    
DOI: 10.1109/LGRS.2018.2819944     Document Type: Article

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