CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 10764 > Article
Paper
7 September 2018 Object detection in multispectral and panchromatic image using superpixel segmentation and multisource feature
Di Wu, Ye Zhang, Qingle Guo
Author Affiliations +
Proceedings Volume 10764, Earth Observing Systems XXIII; 107641W (2018) https://doi.org/10.1117/12.2324613
Event: SPIE Optical Engineering + Applications, 2018, San Diego, California, United States
Abstract
Object detection is a fundamental problem faced in remote sensing images analysis. Most of object detection methods mainly focus on single-source image and utilize single spectral or spatial information. Therefore, they are easily affected by illumination angle, brightness and the structure similar to the object. To overcome these defects, a novel object detection framework is proposed using superpixel segmentation and multisource features in multispectral and panchromatic images. During multisource feature extraction stage, the local region spectral information and the spatial information are extracted from multispectral and panchromatic patches respectively. Then, we embed these spectral features into spatial features to construct the new multisource features. During the detection stage, superpixel segmentation method is applied to extract candidate patches based on the superpixel centers from multisource images, which makes detection more efficient. Then, multisource features are also extracted from these candidate patches, which are input to SVM for detection. Experiments are implemented using two groups of the panchromatic and multispectral images by WorldView 2. The results indicated that, compared with single-source detection result, the proposed method can effectively improve the detection performance both on precision and recall rate.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Di Wu, Ye Zhang, and Qingle Guo "Object detection in multispectral and panchromatic image using superpixel segmentation and multisource feature", Proc. SPIE 10764, Earth Observing Systems XXIII, 107641W (7 September 2018); https://doi.org/10.1117/12.2324613
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 6 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image segmentation
Feature extraction
Multispectral imaging
Visualization
Composites
RGB color model
Image analysis
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top