Change detection techniques

By Dengsheng Lu, P. Mausel, Eduardo S Brondízio, Emilio F. Moran. 2004

3,298 citations recorded by the source corpus.

Subfields: Atmospheric Science, Ecology, Media Technology

View Paper: https://www.semanticscholar.org/paper/d7bf4582bc8e83a3ba0c23b41e93f261d100a510

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Citations in the corpus

Change detection from remotely sensed images: From pixel-based to object-based approaches (2013, methodology): “The optimum threshold(s) are either identified using a trial-and-error manual method or through automatic generation and testing (Im et al., 2007; Lu et al., 2004; Rosin, 2002).”
PCA‐based land‐use change detection and analysis using multitemporal and multisensor satellite data (2008, methodology): “Timely and accurate change detection of the Earth’s surface features provides the foundation for better understanding relationships and interactions between human and natural phenomena to better manage and use resources (Lu et al. 2004).”
A critical synthesis of remotely sensed optical image change detection techniques (2015, methodology): “Furthermore, PCA and MAD transformations are scene dependant and 330 may prove difficult to interpret (Carvalho Júnior et al., 2013; Lu et al., 2004; Warner et al., 2009).”
Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images (2018, background): “However, owing to the atmospheric conditions, illumination and sensor calibration and so on, those unchanged pixels always have slight differences [26], [27].”
A Framework for Automatic and Unsupervised Detection of Multiple Changes in Multitemporal Images (2012, neutral): “In the past, many unsupervised approaches have been developed for exploiting the information present in XD [3], [8], [9].”
ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model (2024, background): “Now, CD techniques play an important role in many fields, including land cover change analysis, urban sprawl studies, disaster response, geographic information system (GIS) updating and ecological monitoring [1]–[6].”
Forest change detection by statistical object-based method (2006, methodology): “Using change vector analysis, Lunetta et al. (2004) achieved quite good performances (86% and 0.55).”
Remote sensing of forest pest damage: a review and lessons learned from a Canadian perspective* (2016, methodology): “This approach, also called layer arithmetic, is among the simplest and most frequently used method of bitemporal change detection (Lu et al. 2004; Tewkesbury et al. 2015).”
Land-Use and Land-Cover (LULC) Change Detection in Wami River Basin, Tanzania (2019, methodology): “Several change detection techniques and image analyses have been used to extract evidence from remotely sensed data [32,33].”
Slow Feature Analysis for Change Detection in Multispectral Imagery (2014, background): “In reality, the difference values of the unchanged pixels in each band will not be zero because various external factors may also cause radiometric variance, including the following: 1) atmospheric conditions; 2) illumination; and 3) sensor calibration [16], [17].”
A Theoretical Framework for Unsupervised Change Detection Based on Change Vector Analysis in the Polar Domain (2007, methodology): “Several unsupervised change-detection methodologies have been proposed in the literature [1]–[3].”
CHANGE DETECTION IN REMOTE SENSING IMAGES USING CONDITIONAL ADVERSARIAL NETWORKS (2018, background): “A lot of change detection techniques are developed for remote sensing applications (Singh et al., 1989; Lu et al. 2004; Chen et al. 2013; Hussain et al. 2013).”