Abstract The traditional target recognition method for the remote sensing image is difficult to accurately identify the specified targets from the massive remote sensing image data. Based on the theory of multitemporal recognition, an automatic target recognition method for the remote sensing image is proposed in this article. The proposed recognition method includes four modules: automatic segmentation of multitemporal remote sensing image, automatic target extraction of multitemporal remote sensing image, automatic processing of multitemporal remote sensing image, and automatic recognition of multitemporal remote sensing image. The automatic segmentation of the image target is introduced. The effectiveness of the segmentation technology is verified through the kernel function bandwidth algorithm. Linear feature extraction is used to extract the segmented image. The image extraction processing is described, which includes image profile analysis, image preprocessing, image feature analysis, the region of interest localization, image enhancement processing, recognition processing, and result output. According to the theory of pattern recognition, three different feature recognition images are given, which are partial separable recognition, weakly separable recognition, and fully separable recognition, and then, a new image recognition method is designed. To verify the practical application effect of the recognition method, the proposed method is compared with the traditional recognition method. Experimental results show that the proposed method can accurately identify the specified objects from the massive remote sensing image data and has a high potential for development. This article has an important guiding significance for image recognition.

中文翻译：

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多时相遥感影像目标自动识别方法

摘要 传统的遥感影像目标识别方法难以从海量遥感影像数据中准确识别指定目标。本文基于多时相识别理论，提出了一种遥感影像目标自动识别方法。提出的识别方法包括四个模块：多时相遥感图像自动分割、多时相遥感图像目标自动提取、多时相遥感图像自动处理、多时相遥感图像自动识别。介绍了图像目标的自动分割。通过核函数带宽算法验证了分割技术的有效性。线性特征提取用于提取分割后的图像。描述了图像提取处理，包括图像轮廓分析、图像预处理、图像特征分析、感兴趣区域定位、图像增强处理、识别处理和结果输出。根据模式识别理论，给出了三种不同的特征识别图像，即部分可分离识别、弱可分离识别和完全可分离识别，进而设计了一种新的图像识别方法。为验证该识别方法的实际应用效果，将所提方法与传统识别方法进行对比。实验结果表明，该方法能够从海量遥感影像数据中准确识别出指定目标，具有较高的发展潜力。本文对图像识别具有重要的指导意义。