Hyperspectral and Lidar Intensity Data Fusion: A Framework for the Rigorous Correction of Illumination, Anisotropic Effects, and Cross Calibration

IEEE Transactions on Geoscience and Remote Sensing

Volumn 55, Issue 5, 2017, Pages 2799-2810

  Brell, Maximilian ^a   Segl, Karl ^a   Guanter, Luis ^b   Bookhagen, Bodo ^b  

^a GFZ GERMAN RESEARCH CENTRE FOR GEOSCIENCES   (Germany)

^b UNIVERSITY OF POTSDAM   (Germany)

Author keywords

Airborne laser scanning (ALS); deshadowing; imaging spectroscopy; in flight; mosaicking; pixel level fusion; preprocessing; radiometric alignment; ray tracing; sensor alignment; sensor fusion

Indexed keywords

ANISOTROPY; CALIBRATION; DATA FUSION; HYPERSPECTRAL IMAGING; OPTICAL RADAR; RAY TRACING; SPECTROSCOPY;

CLASSIFICATION ACCURACY; ENVIRONMENTAL SCIENCE; ILLUMINATION CHANGES; ILLUMINATION CORRECTION; ILLUMINATION PATTERNS; INTENSITY INFORMATION; PASSIVE-SENSOR SYSTEM; TEMPORAL DIFFERENCES;

SENSOR DATA FUSION;

ACCURACY ASSESSMENT; AIRBORNE SURVEY; ANISOTROPY; CALIBRATION; CORRECTION; DATA ASSIMILATION; DATA PROCESSING; GEOMETRY; IMAGE ANALYSIS; IMAGING METHOD; LIDAR; PIXEL; RADIOMETRIC METHOD; RAY TRACING; SATELLITE DATA; SATELLITE SENSOR; SPECTRAL ANALYSIS; SPECTROSCOPY;

EID: 85012977527     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2017.2654516     Document Type: Article

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