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Digital Change Detection Techniques in Remote Sensing
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In this article, a review of digital change detection techniques using remotely sensed data is presented, citing examples of their use for both environmental and military applications and discusses some issues germane to digital change detecting: image registration and rectification, thresholding, and radiometric correction.Abstract:
: This report presents a review of digital change detection techniques using remotely sensed data, citing examples of their use for both environmental and military applications It also discusses some issues germane to digital change detection: image registration and rectification, thresholding, and radiometric correctionread more
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Journal ArticleDOI
Change detection from remotely sensed images: From pixel-based to object-based approaches
TL;DR: This paper begins with a discussion of the traditionally pixel-based and (mostly) statistics-oriented change detection techniques which focus mainly on the spectral values and mostly ignore the spatial context, followed by a review of object-basedchange detection techniques.
Journal ArticleDOI
A Framework for Automatic and Unsupervised Detection of Multiple Changes in Multitemporal Images
TL;DR: A framework for the detection of multiple changes in bitemporal and multispectral remote sensing images that allows one to overcome the limits of standard unsupervised methods is presented.
Journal ArticleDOI
Building Instance Change Detection from Large-Scale Aerial Images using Convolutional Neural Networks and Simulated Samples
TL;DR: A novel convolutional neural network (CNN)-based change detection framework for locating changed building instances as well as changed building pixels from very high resolution (VHR) aerial images, which greatly lowers the requirements of labeled changed buildings, and guarantees the algorithm's robustness to registration errors caused by parallaxes.
Journal ArticleDOI
Investigating the Use of Remote Sensing and GIS Techniques to Detect Land Use and Land Cover Change: A Review
TL;DR: The major techniques that are utilized to detect land use and land cover changes are investigated and it is shown that the most used techniques are post-classification comparison and principle component analysis.
Change detection techniques - a sur vey
R. Naveena Devi,G. Wiselin Jiji +1 more
TL;DR: In this paper, a review of pixel based and object-based change detection techniques in conjunction with the comparison of their merits and limitations is presented. But, the authors do not consider the use of data mining techniques in tandem with objectbased methods for change detection.