Knowledge Commons of Institute of Automation,CAS
Dual Stream Fusion Network for Multi-spectral High Resolution Remote Sensing Image Segmentation | |
Cao, Yong1,2![]() ![]() ![]() ![]() | |
2021 | |
会议名称 | Chinese Conference on Pattern Recognition and Computer Vision |
页码 | 537-547 |
会议日期 | 2021.12.19-2021.12.21 |
会议地点 | 珠海 |
出版者 | Springer |
摘要 | Semantic segmentation is in-demand in High Resolution Remote Sensing (HRRS) image processing. Unlike natural images, HRRS images usually provide channels such as Near Infrared (NIR) in addition to RGB channels. However, in order to make use of the pre-trained model, the current semantic segmentation methods in remote sensing field usually only use the RGB channel and discard the information of other channels. In this paper, to make full use of the HRRS image information, a dual-stream fusion network is proposed to fuse the information of different channel combinations through a Feature Pyramid Network (FPN), then a Stage Pyramid Pooling (SPP) module is used to integrate the features of different scales and produce the final segmentation results. Experiments on the RSCUP competition dataset show that the proposed approach can effectively improve the segmentation performance. |
关键词 | Semantic segmentation Remote sensing Stream fusion |
学科门类 | 工学 |
收录类别 | EI |
资助项目 | Major Project for New Generation of AI[2018AAA0100400] |
语种 | 英语 |
七大方向——子方向分类 | 图像视频处理与分析 |
国重实验室规划方向分类 | 多尺度信息处理 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/57560 |
专题 | 多模态人工智能系统全国重点实验室_先进时空数据分析与学习 |
通讯作者 | Cao, Yong |
作者单位 | 1.School of Artificial Intelligence, University of Chinese Academy of Sciences 2.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences 3.Beijing City University Intelligent Electronic Manufacturing Research Center 4.Beijing University of Civil Engineering and Architecture |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Cao, Yong,Shi, Yiwen,Liu, Yiwei,et al. Dual Stream Fusion Network for Multi-spectral High Resolution Remote Sensing Image Segmentation[C]:Springer,2021:537-547. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
PRCV_CaoYong.pdf(1703KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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