Paper Info
Title
Change Detection in Coral Reef Environment Using High-Resolution Images: Comparison of Object-Based and Pixel-Based Paradigms.
Abstract
Despite increases in the spatial resolution of satellite imagery prompting interest in object-based image analysis, few studies have used object-based methods for monitoring changes in coral reefs. This study proposes a high accuracy object-based change detection (OBCD) method intended for coral reef environment, which uses QuickBird and WorldView-2 images. The proposed methodological framework includes image fusion, multi-temporal image segmentation, image differencing, random forests models, and object-area-based accuracy assessment. For validation, we applied the method to images of four coral reef study sites in the South China Sea. We compared the proposed OBCD method with a conventional pixel-based change detection (PBCD) method by implementing both methods under the same conditions. The average overall accuracy of OBCD exceeded 90%, which was approximately 20% higher than PBCD. The OBCD method was free from salt-and-pepper effects and was less prone to images misregistration in terms of change detection accuracy and mapping results. The object-area-based accuracy assessment reached a higher overall accuracy and per-class accuracy than the object-number-based and pixel-number-based accuracy assessment.
Year
DOI
Venue
2018
10.3390/ijgi7110441
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
Keywords
Field
DocType
coral reef,change detection,very high resolution,object-based method,random forests
Satellite imagery,Change detection,Image fusion,Computer science,Remote sensing,Image differencing,Image segmentation,Pixel,Random forest,Image resolution
Journal
Volume
Issue
Citations 
7
11
0
PageRank 
References 
Authors
0.34
14
6
Name
Order
Citations
PageRank
Zhenjin Zhou1161.10
Lei Ma2335.90
Tengyu Fu3161.10
Ge Zhang400.34
Mengru Yao500.34
Manchun Li621145.40