The confidence–hindsight mirror effect in judgment: An accuracy-assessment model for the knew-it-all-along phenomenon.

In this paper, we propose a new accuracy measurement model for the video stabilization method based on background motion that can accurately measure the performance of the video stabilization algorithm. Undesired residual motion present in the video can quantitatively be measured by the pixel by pixel background motion displacement between two consecutive background frames. First of all, foregrounds are removed from a stabilized video, and then we find the two-dimensional flow vectors for each pixel separately between two consecutive background frames. After that, we calculate a Euclidean distance between these two flow vectors for each pixel one by one, which is regarded as a displacement of each pixel. Then a total Euclidean distance of each frame is averaged to get a mean displacement for each pixel, which is called mean displacement error, and finally we calculate the average mean displacement error. Our experimental results show the effectiveness of our proposed method.

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Accuracy assessment model for classification result of remote sensing image based on spatial sampling

Journal of Applied Remote Sensing ◽

10.1117/1.jrs.11.046023 ◽

2017 ◽

Vol 11 (04) ◽

pp. 1 ◽

Cited By ~ 3

Author(s):

Dongmei Huang ◽

Shoujue Xu ◽

Jingqi Sun ◽

Suling Liang ◽

Wei Song ◽

...

Keyword(s):

Remote Sensing ◽

Accuracy Assessment ◽

Remote Sensing Image ◽

Assessment Model ◽

Spatial Sampling ◽

Classification Result

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Assessment of Transmission Line Condition Based on Neural Networks and Fuzzy Logic Decision

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.687-691.3137 ◽

2014 ◽

Vol 687-691 ◽

pp. 3137-3140

Author(s):

Jin Ming Yao ◽

Jun Jie Yang ◽

Zhi Bin Lou

Keyword(s):

Neural Networks ◽

Fuzzy Logic ◽

Transmission Line ◽

Accuracy Assessment ◽

Assessment Model ◽

Stable Operation ◽

Output State ◽

Current State ◽

Convergence Line ◽

Timely Warning

Accurate assessment of the operational status of transmission line,and the line status timely warning, can protect the stable operation of the transmission line. Not high accuracy assessment for the current state of the transmission line,assessment model of transmission line state based on neural networks and fuzzy logic decisions are put forward,built on online monitoring system, Considering the conductor temperature, angle, tension and other parameters.Using BP neural network convergence line fault membership values, and the output state is line fault probability. Then ,the uncertainty of the state probability output line integrated assessmen through Fuzzy Reasoning.

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