A Reliability-Based Multi-Algorithm Fusion Technique in Detecting Changes in Land Cover

Detecting land use or land cover changes is a challenging problem in analyzing images. Change-detection plays a fundamental role in most of land use or cover monitoring systems using remote-sensing techniques. The reliability of individual automatic change-detection algorithms is currently below operating requirements when considering the intrinsic uncertainty of a change-detection algorithm and the complexity of detecting changes in remote-sensing images. In particular, most of these algorithms are only suited for a specific image data source, study area and research purpose. Only a number of comprehensive change-detection methods that consider the reliability of the algorithm in different implementation situations have been reported. This study attempts to explore the advantages of combining several typical change-detection algorithms. This combination is specifically designed for a highly reliable change-detection task. Specifically, a fusion approach based on reliability is proposed for an exclusive land use or land cover change-detection. First, the reliability of each candidate algorithm is evaluated. Then, a fuzzy comprehensive evaluation is used to generate a reliable change-detection approach. This evaluation is a transformation between a one-way evaluation matrix and a weight vector computed using the reliability of each candidate algorithm. Experimental results reveal that the advantages of combining these distinct change-detection techniques are evident.

• Publication year

  2013

• Venue

  Remote Sensing

• Publication date

  2013-03-01

• Fields of study

  Computer Science, Environmental Science

• Identifiers
  DOI 10.3390/RS5031134
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Binary images in seasonal land-cover change identification: a comparative study in parts of New South Wales, Australia

  2013cited by this paper
• Classification of Landsat images based on spectral and topographic variables for land-cover change detection in Zagros forests

  2012cited by this paper
• Detection of Large-Scale Forest Canopy Change in Pan-Tropical Humid Forests 2000–2009 With the SeaWinds Ku-Band Scatterometer

  2012cited by this paper
• A New Methodology for Detecting Ice Sheet Surface Elevation Changes From Laser Altimetry Data

  2012cited by this paper
• Characterization of Arctic Sea Ice Thickness Using High-Resolution Spaceborne Polarimetric SAR Data

  2012cited by this paper
• An integrated spatio-temporal classification method for urban fringe change detection analysis

  2012cited by this paper
• Increasing Robustness of Postclassification Change Detection Using Time Series of Land Cover Maps

  2012cited by this paper
• Selection of classification techniques for land use - land cover change investigation

  2012influential reference
• Detecting land-use/land-cover change in rural-urban fringe areas using extended change-vector analysis

  2011cited by this paper
• Kernel Maximum Autocorrelation Factor and Minimum Noise Fraction Transformations

  2011cited by this paper
• Forest cover change detection of Western Ghats of Maharashtra using satellite remote sensing based visual interpretation technique.

  2010cited by this paper
• Change Detection Accuracy and Image Properties: A Study Using Simulated Data

  2010cited by this paper
• Monitoring the change of urban wetland using high spatial resolution remote sensing data

  2010cited by this paper
• Automatic Detection of Buildings and Changes in Buildings for Updating of Maps

  2010cited by this paper
• Change vector analysis to categorise land cover change processes using the tasselled cap as biophysical indicator

  2008cited by this paper
• DETECTION OF LAND COVER CHANGES USING MULTI-TEMPORAL SATELLITE IMAGERY

  2008cited by this paper
• Unsupervised Change Detection for Satellite Images Using Dual-Tree Complex Wavelet Transform

  2008cited by this paper
• PCA‐based land‐use change detection and analysis using multitemporal and multisensor satellite data

  2008cited by this paper
• A Theoretical Framework for Unsupervised Change Detection Based on Change Vector Analysis in the Polar Domain

  2007cited by this paper
• Spectral shape-based temporal compositing algorithms for MODIS surface reflectance data

  2007cited by this paper
• Land-cover change detection using multi-temporal MODIS NDVI data

  2006cited by this paper
• Review ArticleDigital change detection methods in ecosystem monitoring: a review

  2004cited by this paper
• Reliability Engineering : Futility and Error

  2004cited by this paper
• Change vector analysis technique to monitor selective logging activities in Amazon

  2003cited by this paper
• Land-use/land-cover change detection using improved change-vector analysis

  2003cited by this paper
• Status of land cover classification accuracy assessment

  2002cited by this paper
• Principal component analysis of stacked multi-temporal images for the monitoring of rapid urban expansion in the Pearl River Delta

  2001cited by this paper
• Monitoring land-cover changes: A comparison of change detection techniques

  1999cited by this paper
• Multivariate Alteration Detection (MAD) and MAF Postprocessing in Multispectral, Bitemporal Image Data: New Approaches to Change Detection Studies

  1998cited by this paper
• Change vector analysis: A technique for the multispectral monitoring of land cover and condition

  1998cited by this paper
• Kappa coefficient calculation using multiple ratings per subject: a special communication.

  1989cited by this paper
• Change Vector Analysis: An Approach for Detecting Forest Changes with Landsat

  1980cited by this paper

• Change Detection Based on Artificial Intelligence: State-of-the-Art and Challenges

  2020cites this paper
• Change Detection Based on Feature Optimization in High Resolution Optical Image

  2020cites this paper
• Exploration of the influence of ambiguity pixels on image classification reliability

  2020cites this paper
• Study on factors affecting corn yield based on the Cobb-Douglas production function

  2020cites this paper
• Indicator-Kriging-Integrated Evidence Theory for Unsupervised Change Detection in Remotely Sensed Imagery

  2018cites this paper
• Building change detection after earthquake using multi-criteria decision analysis based on extracted information from high spatial resolution satellite images

  2017influential citation
• Superpixel-based active contour model for unsupervised change detection from satellite images

  2016cites this paper
• Novel Approach to Unsupervised Change Detection Based on a Robust Semi-Supervised FCM Clustering Algorithm

  2016cites this paper
• Quality assessment of remote sensing image fusion using feature-based fourth-order correlation coefficient

  2016cites this paper
• Human visual system consistent quality assessment for remote sensing image fusion

  2015cites this paper
• Validation of Land Cover Products Using Reliability Evaluation Methods

  2015cites this paper
• Evaluating the Efficiency of Multisensor Satellite Data Fusion Based on the Accuracy Level of Land Cover/Use Classification

  2015cites this paper