基于深度神经网络的卫星影像土地利用预测

2019 International Conference on Intelligent Computing and Control Systems (ICCS) Pub Date : 2019-05-01 DOI:10.1109/ICCS45141.2019.9065698

Saket Kumar Ojha, Kasiviswanath Challa, Madhu Kiran Vemuri, Naga Sri Vardhan Yarlagadda, B. P. Phaneendra Kumar

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引用次数: 1

摘要

土地是任何物种赖以生存和发展的重要自然资源。土地利用和土地覆被是土地资源管理的重要信息。利用土地利用和土地覆盖信息有助于更好地管理土地资源，也使我们了解人类与自然现象之间的关系和相互作用。因此，使用地球表面的卫星图像并应用深度学习的概念来识别土地用途，土地属于哪一类。

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Land Use Prediction on Satillite images using Deep Neural Nets

Land is an important natural resource for any species as life and developmental activities depend upon it. Land use and land cover are important aspect of information for land resource management. Using land use and land cover information helps in better management of land resource and it also makes us to understand the relationships and interactions between the human and natural phenomena. So, using satellite images of earth surface and apply concepts of deep learning to identify land use, which class the land belongs to.

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2019 International Conference on Intelligent Computing and Control Systems (ICCS)

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