Next Article in Journal
Extracting Stops from Noisy Trajectories: A Sequence Oriented Clustering Approach
Next Article in Special Issue
Watershed Land Cover/Land Use Mapping Using Remote Sensing and Data Mining in Gorganrood, Iran
Previous Article in Journal
A Semi-Automated Workflow Solution for Data Set Publication
Article Menu

Export Article

Open AccessArticle
ISPRS Int. J. Geo-Inf. 2016, 5(3), 31; doi:10.3390/ijgi5030031

Land Cover Extraction from High Resolution ZY-3 Satellite Imagery Using Ontology-Based Method

1
School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
2
Tianjin Institute of Surveying and Mapping, Tianjin 300381, China
*
Author to whom correspondence should be addressed.
Academic Editors: Qiming Zhou, Zhilin Li and Wolfgang Kainz
Received: 16 January 2016 / Revised: 1 March 2016 / Accepted: 1 March 2016 / Published: 8 March 2016
(This article belongs to the Special Issue Advances and Innovations in Land Use/Cover Mapping)
View Full-Text   |   Download PDF [3001 KB, uploaded 11 March 2016]   |  

Abstract

The rapid development and increasing availability of high-resolution satellite (HRS) images provides increased opportunities to monitor large scale land cover. However, inefficiency and excessive independence on expert knowledge limits the usage of HRS images on a large scale. As a knowledge organization and representation method, ontology can assist in improving the efficiency of automatic or semi-automatic land cover information extraction, especially for HRS images. This paper presents an ontology-based framework that was used to model the land cover extraction knowledge and interpret HRS remote sensing images at the regional level. The land cover ontology structure is explicitly defined, accounting for the spectral, textural, and shape features, and allowing for the automatic interpretation of the extracted results. With the help of regional prototypes for land cover class stored in Web Ontology Language (OWL) file, automated land cover extraction of the study area is then attempted. Experiments are conducted using ZY-3 (Ziyuan-3) imagery, which were acquired for the Jiangxia District, Wuhan, China, in the summers of 2012 and 2013.The experimental method provided good land cover extraction results as the overall accuracy reached 65.07%. Especially for bare surfaces, highways, ponds, and lakes, whose producer and user accuracies were both higher than 75%. The results highlight the capability of the ontology-based method to automatically extract land cover using ZY-3 HRS images. View Full-Text
Keywords: ontology; land cover; classification; ZY-3; prototype ontology; land cover; classification; ZY-3; prototype
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Luo, H.; Li, L.; Zhu, H.; Kuai, X.; Zhang, Z.; Liu, Y. Land Cover Extraction from High Resolution ZY-3 Satellite Imagery Using Ontology-Based Method. ISPRS Int. J. Geo-Inf. 2016, 5, 31.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top