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A Multi-temporal Image Registration Method Based on Edge Matching and Maximum Likelihood Estimation Sample Consensus
Change Detection Remote Sensing Registration Edge Matching
2015/12/8
In the paper, we propose a newly registration method for multi-temporal image registration. Multi-temporal image registration has two difficulties: one is how to design matching strategy to gain enoug...
Using mixed pixels for the training of a maximum likelihood classification
Training Fuzzy Logic Method
2015/8/20
Most supervised image classification methods need pure pixels for training, which complicates training when pure pixels are
scarce. In these cases, it can be difficult to obtain a sufficiently large ...
FUSION OF HYPERSPECTRAL AND LIDAR DATA BASED ON DIMENSION REDUCTION AND MAXIMUM LIKELIHOOD
Lidar, Hyper-spectral Fusion Classification
2015/5/6
Limitations and deficiencies of different remote sensing sensors in extraction of different objects caused fusion of data from different sensors to become more widespread for improving classificatio...
PHASE NOISE INVESTIGATION OF MAXIMUM LIKELIHOOD ESTIMATION METHOD FOR AIRBORNE MULTIBASELINE SAR INTERFEROMETRY
Synthetic aperture radar (SAR) Interferometry Multibaseline Maximum likelihood Phase unwrapping MEMPHIS Millimeter wave radar Ka-band
2015/4/1
The phase estimation of cross-track multibaseline synthetic aperture interferometric data is usually thought to be very efficiently achieved using the maximum likelihood (ML) method. The suitability o...
MAXIMUM LIKELIHOOD CLASSIFICATION OF HIGH-RESOLUTION SAR IMAGES IN URBAN AREA
SAR Urban area supervised classification Maximum–Likelihood
2014/6/5
In this work, we propose a state-of-the-art on statistical analysis of polarimetric synthetic aperture radar (SAR) data, through the
modeling of several indices. We concentrate on eight ground class...