基于注意力密集连接金字塔网络的新增建设用地变化检测

doi:10.13474/j.cnki.11-2246.2022.0075

测绘通报 ›› 2022, Vol. 0 ›› Issue (3): 41-46,59.doi: 10.13474/j.cnki.11-2246.2022.0075

基于注意力密集连接金字塔网络的新增建设用地变化检测

潘建平¹, 李鑫¹, 孙博文¹, 胡勇², 李明明¹

1. 重庆交通大学土木工程学院, 重庆 400074;
2. 重庆市规划和自然资源调查监测院, 重庆 401123

收稿日期:2021-04-08 发布日期:2022-04-01
通讯作者: 李鑫。E-mail:1718046862@qq.com
作者简介:潘建平(1976-),男,博士,教授,主要研究方向为摄影测量与遥感。E-mail:6370554@qq.com
基金资助:
国家自然科学基金(41801394);重庆市规划与自然资源局科技项目(KJ-2020010)

Detection of new construction land change based on attention intensive connection pyramid network

PAN Jianping¹, LI Xin¹, SUN Bowen¹, HU Yong², LI Mingming¹

1. School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China;
2. Chongqing Institute of Surveying and Monitoring for Planning and Natural Resources, Chongqing 401123, China

Received:2021-04-08 Published:2022-04-01

摘要/Abstract

摘要： 城市新增建设用地变化迅速频繁、场景复杂等因素导致变化检测结果出现欠分割或过分割等问题,基于此本文提出了一种融合注意力机制的密集连接金字塔网络用于城市新增建设用地变化检测。在编码阶段运用卷积注意力模型提升对变化信息的关注度,突出重要特征;采用密集连接空洞卷积空间金字塔池化模块实现多尺度特征的提取与融合,提高特征的利用率与传播效率;在解码阶段通过对提取的特征图进行上采样还原图像的空间尺度特征。试验结果表明,该方法有效改善了欠分割与过分割问题,变化检测效果更好。

关键词: 注意力机制;密集连接金字塔;编码解码;新增建设用地;变化检测

Abstract: To settle the problems of frequent and rapid changes of new urban construction sites and complex scenarios which lead to under-segmentation or over-segmentation of change detection results,this paper proposes a densely connected pyramid network with a fused attention mechanism for urban new construction site change detection.In the coding stage,a convolutional attention model is applied to enhance the attention to change information and highlight important features;then a densely connected null convolutional spatial pyramid pooling module is used to realize the extraction and fusion of multi-scale features and improves the feature utilization and propagation efficiency;in the decoding stage,the spatial scale features of the image are restored by upsampling the extracted feature maps.The experimental results show that the method in this paper effectively improves the under-segmentation and oversegmentation problems,and the change detection effect is better.

Key words: attention mechanism;dense connection pyramid;encoding and decoding;new construction land;change detection

中图分类号:

P237

潘建平, 李鑫, 孙博文, 胡勇, 李明明. 基于注意力密集连接金字塔网络的新增建设用地变化检测[J]. 测绘通报, 2022, 0(3): 41-46,59.

PAN Jianping, LI Xin, SUN Bowen, HU Yong, LI Mingming. Detection of new construction land change based on attention intensive connection pyramid network[J]. Bulletin of Surveying and Mapping, 2022, 0(3): 41-46,59.

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基于注意力密集连接金字塔网络的新增建设用地变化检测

Detection of new construction land change based on attention intensive connection pyramid network

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