Improving change detection in forest areas based on stereo panchromatic imagery using kernel MNF

IEEE Transactions on Geoscience and Remote Sensing

Volumn 52, Issue 11, 2014, Pages 7130-7139

  Tian, Jiaojiao ^a   Nielsen, Allan Aasbjerg ^b   Reinartz, Peter ^a  

^a GERMAN AEROSPACE CENTER DLR   (Germany)

^b TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Change detection; digital surface model (DSM); forest; kernel Minimum Noise Fraction (kMNF); optical stereo data

Indexed keywords

DECISION TREES; DISCRIMINANT ANALYSIS; SAMPLING; SIGNAL DETECTION;

CHANGE DETECTION; DIGITAL SURFACE MODELS; FOREST; MINIMUM NOISE FRACTION; OPTICAL STEREO DATA;

STEREO IMAGE PROCESSING;

ALGORITHM; CANONICAL ANALYSIS; DETECTION METHOD; DIGITAL ELEVATION MODEL; DISCRIMINANT ANALYSIS; FOREST COVER; PANCHROMATIC IMAGE; STEREO IMAGE;

EID: 84902112322     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2014.2308012     Document Type: Article

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