基于卷积神经网络的卫星影像土地覆盖变化检测

2019 International Conference on Smart Systems and Inventive Technology (ICSSIT) Pub Date : 2019-11-01 DOI:10.1109/ICSSIT46314.2019.8987810

Sushma Namidi, Sashedher Jaladi, Neelima Kunchala, Sandeep Kolluri

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引用次数: 0

摘要

变化发现是通过观察不同场合的相同地理位置，来区分一件物品或一件奇迹的位置差异的方法。无数的计算被用于筛选不同的自然变化。项目范围是利用多时相图像确定城市土地的变化检测，这里的变化发现技术有监督或无监督。

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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Convolutional Neural Network Based Land Cover Change Detection on Satellite Images

Change discovery is the way toward distinguishing distinction in the locations of an article or a marvel, by watching the equivalent geographic locale at various occasions. Numerous calculations have been connected to screen different natural changes. The project scope is to determine the change detection of an urban land using the multi temporal images, here the change discovery techniques are either supervised or unsupervised.

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2019 International Conference on Smart Systems and Inventive Technology (ICSSIT)

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