Satellite image classification is a meaningful task, such as helping recognize the damaged houses. Traditional methods like ANN and BoW are not good at satellite image classification.

本文针对无人机LiDAR点云地物分类问题，提出了一种基于改进的卷积神经网络模型，通过对四川某地区采集的点云数据进行人工标注，实现了地面、建筑和植被三种地物的点云分类。利用所设计的CNN模型对人工构建的数据集进行模型训练及测试，并不断对模型参数进行优化，总体分类精度 (OA)可达93.6599%。实验结果表明，本文所设计的改进CNN能够自动学习点云的空间分布特征和形状模式，减少了人工特征设计的工作量 ...

Image classification plays an important role in remote sensing. Earth observation (EO) has inevitably arrived in the big data era, but the high requirement on computation power has already become a ...

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