Review Article Digital change detection techniques using remotely-sensed data
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TLDR
An evaluation of results indicates that various procedures of change detection produce different maps of change even in the same environment.Abstract:
A variety of procedures for change detection based on comparison of multitemporal digital remote sensing data have been developed. An evaluation of results indicates that various procedures of change detection produce different maps of change even in the same environment.read more
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Change vector analysis: A technique for the multispectral monitoring of land cover and condition
R. D. Johnson,E. S. Kasischke +1 more
TL;DR: CVA is reviewed as a useful technique to process the full dimensionality of multispectral/multi-layer data so as to ensure detection of all change present in the data and extract and exploit the 'components' of change in mult ispectral data.
Journal ArticleDOI
A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images
TL;DR: A deeply supervised image fusion network (IFN) is proposed for change detection in high resolution bi-temporal remote sensing images and outperforms four benchmark methods derived from the literature, by returning changed areas with complete boundaries and high internal compactness compared to the state-of-the-art methods.
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Updating the 2001 National Land Cover Database land cover classification to 2006 by using Landsat imagery change detection methods
TL;DR: In this paper, a prototype method was developed to update land cover by an individual Landsat path and row by using both Landsat imagery and data from NLCD 2001 as the baseline.
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Radiometric normalization of multitemporal high-resolution satellite images with quality control for land cover change detection
TL;DR: In this paper, principal component analysis (PCA) is used to find linear relationships between multitemporal images of the same area, and the satellite images are normalized radiometrically to a common scale tied to the reference radiometric levels.
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Calibration and validation of the relative differenced Normalized Burn Ratio (RdNBR) to three measures of fire severity in the Sierra Nevada and Klamath Mountains, California, USA
Jay D. Miller,Eric E. Knapp,Carl H. Key,Carl N. Skinner,Clint J. Isbell,R. Max Creasy,Joseph W. Sherlock +6 more
TL;DR: Miller et al. as mentioned in this paper proposed a relativized version of the Normalized Burn Ratio (RdNBR) to remove the biasing effect of the pre-fire condition, which allows creating categorical classifications for fires occurring in similar vegetation types without acquiring additional calibration field data on each fire.
References
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