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Study on the Detection Algorithm of Bridge over Water in SAR Image Based on Fuzzy Theory

机译:基于模糊理论的SAR图像桥梁桥梁桥梁检测算法研究

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Target detection and recognition is the ultimate aim in computer intelligence. Given an example of linear target, bridge over water in SAR image, the algorithm of denoise and segmentation is designed based on fuzzy theory, the detection of bridge edge is realized by minimum and Radon transform, and a measurement of judging parallel is proposed in this paper. In the process of designing algorithm, some problems have been considered and solved, including (a) restrain furthest the multiplicative noise and enforce the feature of target; (b) obtain the area of bridge over water in complicated background; (c) get the edge of bridge, namely extraction of linear feature; (d) the final work in detection and recognition of bridge such as parallel judgment. The experimental results show that the algorithm is effective.
机译:目标检测和识别是计算机智能的最终目标。 鉴于线性目标的一个例子,SAR图像中的水桥,基于模糊理论设计了去噪和分割的算法,通过最小和氡变换来实现桥梁边缘的检测,并提出了判断并联的测量 纸。 在设计算法的过程中,已经考虑并解决了一些问题,包括(a)抑制最远的乘法噪声并强制执行目标的特征; (b)在复杂的背景下获得水的桥梁区域; (c)得到桥梁的边缘,即提取线性特征; (d)检测和识别桥梁的最终工作,如平行判断。 实验结果表明,该算法是有效的。

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