J
Jianghong Ma
Researcher at Chang'an University
Publications - 27
Citations - 347
Jianghong Ma is an academic researcher from Chang'an University. The author has contributed to research in topics: Propagation of uncertainty & Estimator. The author has an hindex of 10, co-authored 26 publications receiving 301 citations. Previous affiliations of Jianghong Ma include Shaanxi Normal University & Xi'an Jiaotong University.
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An integrated information fusion approach based on the theory of evidence and group decision-making
TL;DR: An integrated approach to automatically identify and discount unreliable evidence is proposed and an adaptive robust combination rule that incorporates the information contained in the consistent focal elements is then constructed to combine such evidence.
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A general framework for error analysis in measurement-based GIS Part 1: The basic measurement-error model and related concepts
TL;DR: A simple but general model for ME in MBGIS is introduced and an approximate law of error propagation is formulated, and a simple, unified, and effective treatment of error bands for a line segment is made under the name of “covariance-based error band”.
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Unsupervised Object-Based Change Detection via a Weibull Mixture Model-Based Binarization for High-Resolution Remote Sensing Images
TL;DR: Experimental results demonstrate that the method allows better and more robust unsupervised object-based CD than do state-of-the-art threshold-based and clustering-based methods.
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A new method for mining regression classes in large data sets
TL;DR: The effectiveness and robustness of the RCMD method are substantiated by a set of simulation experiments and a real-life application showing the way it can be used to fit mixed data to linear regression classes and nonlinear structures in various situations.
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A general framework for error analysis in measurement-based GIS. Part 4: Error analysis in length and area measurements
TL;DR: In this paper, the error analysis problems in length and area measurements under measurement error (ME) of the defining points are discussed and the basic ME model for length and Area measurements is formulated.