搜索结果: 1-14 共查到“工学 Maximum Likelihood”相关记录14条 . 查询时间(0.093 秒)
A Multi-temporal Image Registration Method Based on Edge Matching and Maximum Likelihood Estimation Sample Consensus
Change Detection Remote Sensing Registration Edge Matching
font style='font-size:12px;'>
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...
Higher Order Properties of Bootstrap and Jackknife Bias Corrected Maximum Likelihood Estimators
Bootstrap and Jackknife Bias Likelihood Estimators
font style='font-size:12px;'>
2015/9/22
Pfanzagl and Wefelmeyer (1978) show that bias corrected ML estimators are higher order efficient.
Their procedure however is computationally complicated because it requires integrating complicat...
Using mixed pixels for the training of a maximum likelihood classification
Training Fuzzy Logic Method
font style='font-size:12px;'>
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 ...
SUB-PIXEL AND MAXIMUM LIKELIHOOD CLASSIFICATION OF LANDSAT ETM+ IMAGES FOR DETECTING ILLEGAL LOGGING AND MAPPING TROPICAL RAIN FOREST COVER TYPES IN BERAU, EAST KALIMANTAN, INDONESIA
Su-pixel Maximum Likelihood Forest Detection
font style='font-size:12px;'>
2015/7/30
The tropical forest is depleting at a fast rate due to deforestation and degradation. Illegal logging was reported to be the cause of 50%
of the deforestation. Illegal logging is a very pressing iss...
FUSION OF HYPERSPECTRAL AND LIDAR DATA BASED ON DIMENSION REDUCTION AND MAXIMUM LIKELIHOOD
Lidar, Hyper-spectral Fusion Classification
font style='font-size:12px;'>
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
font style='font-size:12px;'>
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 METHOD MODIFIED IN ESTIMATING A PRIOR PROBABILITY AND IN IMPROVING MISCLASSIFICATION ERRORS
Maximum Likelihood Method (MLM) Mixel Data Fusion Decision Tree
font style='font-size:12px;'>
2015/2/4
Maximum Likelihood Method (MLM) has been one of the most traditional classification methods in remote sensing
field, but its disadvantages have been also pointed out. While a prior occurrence probabi...
DISCRIMINATION ABILITY OF NEURAL NETWORK AND MAXIMUM LIKELIHOOD CLASSIFIERS
Ability neural network classifier
font style='font-size:12px;'>
2015/2/3
DISCRIMINATION ABILITY OF NEURAL NETWORK AND MAXIMUM LIKELIHOOD CLASSIFIERS.
MAXIMUM LIKELIHOOD CLASSIFICATION OF HIGH-RESOLUTION SAR IMAGES IN URBAN AREA
SAR Urban area supervised classification Maximum–Likelihood
font style='font-size:12px;'>
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...
Low-Complexity Two-Stage Carrier Phase Estimation for 16-QAM Systems using QPSK Partitioning and Maximum Likelihood Detection
Low-Complexity Two-Stage Carrier Phase Estimation 16-QAM Systems QPSK Partitioning Maximum Likelihood Detection
font style='font-size:12px;'>
2015/5/20
A feedforward carrier phase estimation algorithm using a modified QPSK partition approach followed by maximum-likelihood (ML) detection is proposed. Results demonstrate complexity reduction by more th...
Study on the Performance of Decision-Aided Maximum Likelihood Phase Estimation with a Forgetting Factor
Forgetting Factor Decision-Aided Maximum Likelihood Phase
font style='font-size:12px;'>
2015/5/15
A structure of non-adaptive decision-aided maximum likelihood is demonstrated by introducing a forgetting factor via both analysis and experiments, which achieves the same performance as the adaptive ...
Investigation of level spacing distribution of nuclear energy levels by maximum likelihood estimation method
nuclear energy levels maximum likelihood estimation method Nuclear Theory
font style='font-size:12px;'>
2011/10/11
Abstract: The nearest neighbor spacing distribution (NNSD) is one of common methods in statistical analysis of nuclear energy levels. In this paper, we have proposed Maximum Likelihood Estimation (MLE...
Experimental Demonstration of Decision-Aided Maximum Likelihood Phase Estimation in 8-Channel 42.8-Gbit/s DWDM Coherent PolMux-QPSK System
Optical communications Coherent communication Phase modulation
font style='font-size:12px;'>
2015/6/5
We experimentally demonstrate a novel decision-aided maximum likelihood phase estimation in an 8-Channel 42.8-Gbit/s DWDM coherent PolMux QPSK system. The results show that our proposed algorithm can ...
A Novel Field-Detection Maximum-Likelihood Sequence Estimation for Chromatic-Dispersion Compensation
Novel Field-Detection Maximum-Likelihood Sequence Estimation Chromatic-Dispersion Compensation
font style='font-size:12px;'>
2015/8/3
We propose a novel field-detection based maximum likelihood sequence estimation (FD-MLSE), and experimentally demonstrate transmission over 372km of field-installed SMF without optical dispersion comp...