Object-based land cover change detection for cross-sensor images
- 14 June 2013
- journal article
- research article
- Published by Taylor & Francis in International Journal of Remote Sensing
- Vol. 34 (19), 6723-6737
- https://doi.org/10.1080/01431161.2013.805282
Abstract
Accurate and timely land cover change detection at regional and global scales is necessary for both natural resource management and global environmental change studies. Satellite remote sensing has been widely used in land cover change detection over the past three decades. The variety of satellites which have been launched for Earth Observation (EO) and the large volume of remotely sensed data archives acquired by different sensors provide a unique opportunity for land cover change detection. This article introduces an object-based land cover change detection approach for cross-sensor images. First, two images acquired by different sensors were stacked together and principal component analysis (PCA) was applied to the stacked data. Second, based on the Eigen values of the PCA transformation, six principal bands were selected for further image segmentation. Finally, a land cover change detection classification scheme was designed based on the land cover change patterns in the study area. An image–object classification was implemented to generate a land cover change map. The experiment was carried out using images acquired by Landsat 5 TM and IRS-P6 LISS3 over Daqing, China. The overall accuracy and kappa coefficient of the change map were 83.42% and 0.82, respectively. The results indicate that this is a promising approach to produce land cover change maps using cross-sensor images.Keywords
This publication has 33 references indexed in Scilit:
- Accuracy Assessment Measures for Object-based Image Segmentation GoodnessPhotogrammetric Engineering & Remote Sensing, 2010
- Effect of errors in ground truth on classification accuracyInternational Journal of Remote Sensing, 2009
- An object-based method for mapping and change analysis in mangrove ecosystemsISPRS Journal of Photogrammetry and Remote Sensing, 2008
- PCA‐based land‐use change detection and analysis using multitemporal and multisensor satellite dataInternational Journal of Remote Sensing, 2008
- An object-based change detection method accounting for temporal dependences in time series with medium to coarse spatial resolutionRemote Sensing of Environment, 2008
- Extending post-classification change detection using semantic similarity metrics to overcome class heterogeneity: A study of 1992 and 2001 U.S. National Land Cover Database changesRemote Sensing of Environment, 2007
- Review ArticleDigital change detection methods in ecosystem monitoring: a reviewInternational Journal of Remote Sensing, 2004
- Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready informationISPRS Journal of Photogrammetry and Remote Sensing, 2004
- Segmentation of remotely-sensed images by a split-and-merge process+International Journal of Remote Sensing, 1988
- Monitoring land-cover change by principal component analysis of multitemporal landsat dataRemote Sensing of Environment, 1980