A maximum likelihood based nonparametric iterative adaptive method of synthetic aperture radar tomography and its application for estimating underlying topography and forest height

Sensors (Switzerland)

Volumn 18, Issue 8, 2018, Pages

  Peng, Xing ^a,b   Fu, Haiqiang ^a   Wang, Changcheng ^a   Li, Xinwu ^b   Du, Yanan ^c  

^a CENTRAL SOUTH UNIVERSITY   (China)

^b INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^c GUANGZHOU UNIVERSITY   (China)

Author keywords

Forest height; IAA ML; P band; SAR tomography; Underlying topography

Indexed keywords

ESTIMATION; FORESTRY; ITERATIVE METHODS; MAXIMUM LIKELIHOOD ESTIMATION; OPTICAL RADAR; POLARIZATION; SPECTRUM ANALYSIS; TOMOGRAPHY; TOPOGRAPHY;

AMPLITUDE AND PHASE ESTIMATIONS; FOREST HEIGHT; IAA-ML; ITERATIVE ADAPTIVE APPROACHES (IAA); LIGHT DETECTION AND RANGING; SAR TOMOGRAPHY (SARTOM); SPECTRAL ESTIMATION METHODS; SYNTHETIC APERTURE RADAR TOMOGRAPHIES;

SYNTHETIC APERTURE RADAR;

EID: 85051107632     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s18082459     Document Type: Article

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