一种非常高分辨率卫星图像分类算法

2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO) Pub Date : 2018-04-01 DOI:10.1109/ELNANO.2018.8477447

Y. Shedlovska, V. Hnatushenko

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引用次数: 8

摘要

本研究致力于高分辨率WorldView-2和WorldView-3卫星图像的处理。我们开发了一种基于目标的卫星图像自动分类算法。研究了三种不同的分割方法，以确定哪种方法最适合我们的任务。实验结果表明，该算法具有良好的精度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Very High Resolution Satellite Imagery Classification Algorithm

This work is devoted to high-resolution WorldView-2 and WorldView-3 satellite imagery processing. We have developed a satellite imagery automatic classification algorithm based on the object-based approach. Three different segmentation methods are investigated in order to determine which is the most appropriate for our task. The experimental results show a good accuracy of the proposed algorithm.

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2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO)

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