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
Source PublicationJournal of Applied Remote Sensing
2017-11
Issue11(4)Pages:042606
Abstract
 
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.
KeywordAircraft Recognition Remote Sensing Images Convolutional Neural Networks Object Detection
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20961
Collection空天信息研究中心
Affiliation1.中国科学院自动化研究所
2.中国科学院大学
Recommended Citation
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.
Files in This Item: Download All
File Name/Size DocType Version Access License
JARS-DeepPlane.pdf(6551KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Hongzhen Wang]'s Articles
[Yongchan Gong]'s Articles
[Ying Wang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Hongzhen Wang]'s Articles
[Yongchan Gong]'s Articles
[Ying Wang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Hongzhen Wang]'s Articles
[Yongchan Gong]'s Articles
[Ying Wang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: JARS-DeepPlane.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.