entropy of fusion 中文意思是什麼
entropy of fusion
解釋
熔化熵-
It classifies data of conflict, redundancy and complementarity according to the relationship of self - entropy and mutual entropy about sensor data, and builds the structure of multisensor data classification for classified fusion
該方法根據傳感器數據自熵和互熵的關系實現沖突、冗餘和補充的數據分類，建立多傳感器數據分類結構並進行分類融合。 -
As far as the system observation for accuracy evaluation of carrier rocket is concerned, there may exist different types of observed data and priors. heterogeneous information means that the different information describing the different characteristics of the same object. since all of the information is relevant to the same object, the fusion is possible. it is a key problem that how to fuse the heterogeneous information to obtain the better evaluation result. therefore, the different heterogeneous information and data is thoroughly studied, moreover, the mathematical description for information fusion of different parameter priors and data is constructed in this paper. based on their relationship between different parameters, indirect prior and observation data is transformed into prior in impact point observation space, which is fused with original prior by weight determined by maximum entropy rule to obtain the mixed posterior distribution. therefore, the test results can be given by combining posterior distribution and impact error observed data. then its application on evaluating guidance systematic error is elaborated as it applies trajectory tracking data, test value of coefficients of guidance instrumentation systematic error, impact point observation data and prior. especially, the advantage of this method lies in its application in case that guidance instrumentation systematic error may not be computed precisely. finally a detailed example on evaluation of carrier rocket is given to verify the theory
為充分利用運載火箭觀測中的不同觀測空間和過程的信息來進行精度評估，針對該背景建立了異質先驗融合的數學描述.研究了飛行試驗中不同觀測空間和過程的異質先驗信息和數據，基於不同觀測過程的解析關系，將間接過程的先驗和觀測數據算出的后驗分佈轉換成落點觀測空間上的先驗，與原落點的先驗進行了最大熵加權融合，得到混合后驗分佈，從而結合落點觀測數據給出評定結果.在無法解算出精確的制導工具誤差系數的情況下，這種方法充分利用了彈道跟蹤數據、工具誤差系數的地面測試先驗值、落點先驗及落點數據，穩健性更好，準確性更高 -
The results show that when evaluated with the indexes of cross entropy and contrast, it performs better than the wavelet transform based fusion method with the fusion rules of maximum absolute coefficient and maximum directive contrast
模擬實驗表明，較之於基於最大絕對系數和最大方向對比度的小波變換融合方法而言，該方法在交叉熵和對比度意義上性能更佳。 -
In this article, the prime task is the reasarch of extraction airplane ’ s periodic signature of modulation, the approximate entropy, the norm entropy, obtaining the sensor confidence level as well as structuring realization target identification intellectualized type fusion model and the algorithm
本文主要工作是研究提取飛機目標的調制周期特徵，近似熵、范數熵，獲取傳感器可信度以及構造實現目標識別的智能化類型融合模型和演算法。 -
In this paper, two kind of wavelet based fusion algorithm of remote sensing images are improved. by experiments on tm images, the improved algorithms are both better than original ones according to the shanon entropy and mean gradient
本文對傳統的基於小波的遙感圖像像素級融合演算法進行改進，並用tm圖像進行實驗，結果表明在信息熵和平均梯度等指標方面，改進后的演算法好於原演算法，起到了優化的作用。 -
We estimated the fusion images in both subjective factors and objective factors. the objective parameters involved entropy, average gradient, spectral divergence, correlation coefficient and the accuracy of the classification
對融合后的圖像分別從主觀和客觀兩個方面進行了定性和定量的評價，其中客觀評價分別採用了熵、平均梯度、光譜差異、相關系數以及分類精度作為評價標準。 -
The main workloads were as following. the first was information fusion of multi - points pulses based on pulse entropy
主要工作如下:一是基於脈搏熵的多點脈搏信息融合方法。
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