Title :
SAR image analysis methods for forest applications
Author :
Quegan, Shaun ; Jiong Jiong Yu
Author_Institution :
Centre for Earth. Obs. Sci., Sheffield Univ., UK
Abstract :
Forest information can be inferred from a wide range of SAR systems and data types, each of which brings its own requirements for parameter estimation. These parameters and the current state of knowledge on their estimation properties are summarised in a unified approach, in the main based on the product model for multi-channel data. The possible need to modify this model for long wavelength data is described
Keywords :
forestry; geophysical signal processing; geophysical techniques; image processing; parameter estimation; radar imaging; remote sensing by radar; synthetic aperture radar; SAR; forest; forestry; geophysical measurement technique; image analysis method; multi-channel data; parameter estimation; radar remote sensing; synthetic aperture radar; vegetation mapping; Covariance matrix; Data models; Forestry; Geoscience; Image analysis; Image texture analysis; Maximum likelihood detection; Maximum likelihood estimation; Parameter estimation; State estimation;
Conference_Titel :
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN :
0-7803-3836-7
DOI :
10.1109/IGARSS.1997.615255
