Segmentation-Based Fine Registration of Very High Resolution Multitemporal Images

IEEE Transactions on Geoscience and Remote Sensing

Volumn 55, Issue 5, 2017, Pages 2884-2897

  Han, Youkyung ^a   Bovolo, Francesca ^b   Bruzzone, Lorenzo ^c  

^a Kyungpook National University   (South Korea)

^b FONDAZIONE BRUNO KESSLER   (Italy)

^c UNIVERSITY OF TRENTO   (Italy)

Author keywords

Multitemporal images; object representative points; registration; registration noise (RN); remote sensing; urban areas; very high resolution (VHR) images

Indexed keywords

ALIGNMENT; PIXELS;

DIFFERENTIAL ANALYSIS; DISPLACEMENT ANALYSIS; MISALIGNMENT PROPERTY; SPATIAL CORRELATIONS; STATISTICAL DISTRIBUTION; TEMPORAL AND SPATIAL CORRELATION; VERY HIGH RESOLUTION; VERY HIGH RESOLUTION (VHR) IMAGE;

IMAGE SEGMENTATION;

CORRELATION; IMAGE ANALYSIS; IMAGE RESOLUTION; PIXEL; POINT SOURCE; REMOTE SENSING; SEGMENTATION; SIGNAL-TO-NOISE RATIO; SPECTRAL ANALYSIS; URBAN AREA;

EID: 85013001633     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2017.2655941     Document Type: Article

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