Remote Sensing Image Target Recognition System Based on Heapsort

2021 ◽  
pp. 1083-1092
Author(s):  
Sidong Cui ◽  
Zerong Jiang ◽  
Ping Li
Keyword(s):  
Remote Sensing ◽  
Target Recognition ◽  
Remote Sensing Image ◽  
Recognition System

Linear Target Feature Extraction Applied in Target Identification

2014 ◽  
Vol 602-605 ◽  
pp. 1964-1967
Author(s):  
Man Zhao ◽  
Jin Jiang Cui ◽  
He Nan Wu ◽  
Guang Yang ◽  
Da Yong Jiang
Keyword(s):  
Target Identification ◽  
Target Recognition ◽  
Remote Sensing Image ◽  
Recognition System ◽  
Computer Processing ◽  
Target Feature ◽  
C Language ◽  
Line Extraction ◽  
Target Extraction ◽  
Recognition Efficiency

Linear target is the most widely used in remote sensing image. Effective extraction of the linear target can make us reduce a lot of practical work, thus greatly improve the target extraction and identification of timeliness. According to this situation, in the process of building a recognition system, the recognition efficiency can be realized by joining human recognize and identify, combining with the intelligence of computer processing and powerful place. So in this paper, the method based on edge detection and Hough transform algorithm is exploded. Line Extraction and Target Recognition System is developed. The system is realized under Windows operating system. The tool is Visual C++ 6.0 software. The platform is MFC functions. The system is written in C++ language. The characteristics of the system are the strong pertinence and the simple operation. When the system is applied safely, the results are definite and clear.

scholarly journals Automatic target recognition method for multitemporal remote sensing image

Open Physics ◽  
2020 ◽  
Vol 18 (1) ◽  
pp. 170-181
Author(s):  
Chang Shu ◽  
Lihui Sun
Keyword(s):  
Remote Sensing ◽  
Image Recognition ◽  
Target Recognition ◽  
Automatic Segmentation ◽  
Image Data ◽  
Remote Sensing Image ◽  
Automatic Target Recognition ◽  
Image Feature ◽  
Recognition Method ◽  
Multitemporal Remote Sensing

AbstractThe 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.

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