1. 宁波市测绘和遥感技术研究院
2. 宁波冶金勘察设计研究股份有限公司
纸质出版:2024
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叶晓婷, 屈莹. 利用多通道循环注意力机制网络提取遥感图像建筑物[J]. 地理空间信息, 2024,22(9):42-47.
叶晓婷, 屈莹. 利用多通道循环注意力机制网络提取遥感图像建筑物[J]. 2024, 22(9): 42-47.
从高分辨率遥感图像建筑物中获取建筑物区域对于城市规划和地理测绘具有重要意义。近年来卷积神经网络在建筑物提取领域取得了较好效果;但现有方法存在特征提取不充分和忽略不同特征之间相关性等问题。为解决高分辨率遥感图像的建筑物提取问题,提出了一种新颖的多通道循环注意力机制网络。利用多尺度通道注意力机制扩大卷积核感受野,提取丰富的建筑物区域特征信息;通过空间金字塔循环模块建立不同特征之间的相互关系,提升模型的非线性学习能力;采用多通道特征融合模块融合不同特征信息,并获取建筑物区域提取结果。实验结果表明,所构造模型在高分辨率建筑物提取数据集上获取了较高精度,证明了该方法的有效性和实用性。
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