CASIA OpenIR  > 空天信息研究中心
DeepPlane: a unified deep model for aircraft detection and recognition in remote sensing images
Hongzhen Wang1,2; Yongchan Gong1; Ying Wang1; Lingfeng Wang1; Chunhong Pan1
2017-11
发表期刊Journal of Applied Remote Sensing
期号11(4)页码:042606
摘要
 
Deep convolutional neural networks (CNNs) have shown outstanding performance in object recognition from natural images. In contrast, object recognition from remote sensing images is more challenging, due to the complex background and inadequate data for training a deep network with a huge number of parameters. In this paper,
we propose a unified deep CNN, called DeepPlane, to simultaneously detect the position and classify the category of aircraft in remote sensing images. This model consists of two correlative deep networks: the first one is designed to generate object proposals as well as feature maps and the second one is cascaded upon the first one to perform classification and box regression in one shot. The “Inception Module” is introduced to tackle the insufficient training data problem that is one of the most challenging obstacles of the detection in remote sensing images. Extensive experiments demonstrate the efficiency of the proposed DeepPlane model. Specifically, DeepPlane could model detection and classification jointly and achieves 91.9% mAP in six categories of aircraft which advances the state-of-the-art,
sometimes considerably, for both tasks.
关键词Aircraft Recognition Remote Sensing Images Convolutional Neural Networks Object Detection
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/20961
专题空天信息研究中心
作者单位1.中国科学院自动化研究所
2.中国科学院大学
推荐引用方式
GB/T 7714
Hongzhen Wang,Yongchan Gong,Ying Wang,et al. DeepPlane: a unified deep model for aircraft detection and recognition in remote sensing images[J]. Journal of Applied Remote Sensing,2017(11(4)):042606.
APA Hongzhen Wang,Yongchan Gong,Ying Wang,Lingfeng Wang,&Chunhong Pan.(2017).DeepPlane: a unified deep model for aircraft detection and recognition in remote sensing images.Journal of Applied Remote Sensing(11(4)),042606.
MLA Hongzhen Wang,et al."DeepPlane: a unified deep model for aircraft detection and recognition in remote sensing images".Journal of Applied Remote Sensing .11(4)(2017):042606.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
JARS-DeepPlane.pdf(6551KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Hongzhen Wang]的文章
[Yongchan Gong]的文章
[Ying Wang]的文章
百度学术
百度学术中相似的文章
[Hongzhen Wang]的文章
[Yongchan Gong]的文章
[Ying Wang]的文章
必应学术
必应学术中相似的文章
[Hongzhen Wang]的文章
[Yongchan Gong]的文章
[Ying Wang]的文章
相关权益政策
暂无数据
收藏/分享
文件名: JARS-DeepPlane.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。