神经网络在土地覆盖分类方面的应用问题。
Neural network is applied to the classification of land cover.
结果表明地理辅助数据参与的BP神经网络用于土地覆盖分类研究可以获得相对较好的分类结果。
The results show that a relatively satisfied classification result can be achieved by using the classification method combined with BP neural network in land cover classification.
结果表明ASAR数据可以广泛应用于多云多雨地区的土地覆盖分类，农作物估产，船只探测和海洋等领域。
The result shows that ASAR data can find a wide use in many fields such as crop growth . monitoring, ocean and ship detection.
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