搜索结果: 1-15 共查到“工学 Likelihood”相关记录19条 . 查询时间(0.046 秒)
Jordan faces likelihood of much more frequent long and severe droughts,Stanford researchers find（图）
Jordan faces likelihood severe droughts Stanford researchers
2017/9/19
A new analysis of drought in Jordan – one of the world’s most water-poor countries – suggests that without alternate water sources, better land use and improved water-sharing agreements, the country c...
Likelihood-based classification of high resolution images to generate the initial topology and geometry of land cover segments
Likelihood-based classification Maximum likelihood classification Geo-information systems
2016/5/20
This paper’s origin is to reach for a way for automatic initiation of shape hypothesis for Model Based Image Analysis (MBIA) in the specific case of agricultural fields. A solution is to start with lo...
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...
Higher Order Properties of Bootstrap and Jackknife Bias Corrected Maximum Likelihood Estimators
Bootstrap and Jackknife Bias Likelihood Estimators
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
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 ...
Likelihood bounds for constrained estimation with uncertainty
Estimate the linear model model uncertainty likelihood estimation the second-order cone programming
2015/8/10
This paper addresses the problem of finding bounds on the optimal maximum a posteriori (or maximum likelihood) estimate in a linear model under the presence of model uncertainty. We introduce the nove...
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
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
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 METHOD MODIFIED IN ESTIMATING A PRIOR PROBABILITY AND IN IMPROVING MISCLASSIFICATION ERRORS
Maximum Likelihood Method (MLM) Mixel Data Fusion Decision Tree
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
2015/2/3
DISCRIMINATION ABILITY OF NEURAL NETWORK AND MAXIMUM LIKELIHOOD CLASSIFIERS.
LIKELIHOOD-BASED IMAGE SEGMENTATION AND CLASSIFICATION: CONCEPTS AND APPLICATIONS
Classification Knowledge Engineering Remote Sensing Segmentation
2014/12/31
This paper describes a likelihood-based segmentation and classification method for remotely sensed images. It is based on optimization of a utility function, described as a function of likelihood of a...
Use of a Weight of Evidence Approach to Determine the Likelihood of Adverse Effects on Human Health from the Presence of Uranium Facilities in Port Hope, Ontario
Uranium Radiation Cancer Environment
2013/3/13
The radium and uranium processing industry exists in Port Hope, Ontario, since 1932. Between 1932 and 1966, most of the waste material from these industries was deposited throughout the town. During t...
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...
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
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...