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- W2792002912 abstract "Techniques of remote sensing have been improved incredibly in recent years and very accurate results and high resolution images can be acquired. There exist possible ways to use such data to reconstruct railroads. In this paper, an automated railroad reconstruction method from remote sensing images based on Gabor filter was proposed. The method is divided in three steps. Firstly, the edge-oriented railroad characteristics (such as line features) in a remote sensing image are detected using Gabor filter. Secondly, two response images with the filtering orientations perpendicular to each other are fused to suppress the noise and acquire a long stripe smooth region of railroads. Thirdly, a set of smooth regions can be extracted by firstly computing global threshold for the previous result image using Otsu's method and then converting it to a binary image based on the previous threshold. This workflow is tested on a set of remote sensing images and was found to deliver very accurate results in a quickly and highly automated manner." @default.
- W2792002912 created "2018-03-29" @default.
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- W2792002912 date "2018-03-08" @default.
- W2792002912 modified "2023-09-23" @default.
- W2792002912 title "Automated railroad reconstruction from remote sensing image based on texture filter" @default.
- W2792002912 doi "https://doi.org/10.1117/12.2285197" @default.
- W2792002912 hasPublicationYear "2018" @default.
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