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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.

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Change detection approaches for flood extent mapping: How to select the most adequate reference image from online archives?

TL;DR: This study proposes a method that allows the automatic and objective identification of the best reference image with respect to a given flood image by combining two complementary anomaly indexes in a single index to identify the most adequate reference image for flooding-related change detection applications.
Journal ArticleDOI

A minimum-cost thresholding technique for unsupervised change detection

TL;DR: An automatic thresholding technique for difference images in unsupervised change detection takes into account the different costs that may be associated with commission and omission errors in the selection of the decision threshold to allow the generation of maps in which the overall change-detection cost is minimized.
Journal ArticleDOI

Forest fragmentation as an economic indicator

TL;DR: In this paper, a map of urbanization pressure by interpolation of population from a ring of cities surrounding the southside economic region of Virginia was generated, showing that forest fragmentation will occur at a greater rate in the eastern portion of the south side economic region in the future.
Journal ArticleDOI

Detecting Land Cover Change Using an Extended Kalman Filter on MODIS NDVI Time-Series Data

TL;DR: The proposed algorithm acts as a per-pixel change alarm and takes the NDVI time series of a 3 × 3 grid of MODIS pixels as the input and achieves an 89% change detection accuracy while a traditional annual NDVI differencing method could only achieve a 63% change Detection accuracy.
Journal ArticleDOI

Digital change detection with the aid of multiresolution wavelet analysis

TL;DR: The preliminary findings of a new approach to deal with misregistration effects on change detection results are presented, where changes of interest were pinpointed successfully without the necessity of accurate spatial registration or radiometric rectification while differences not related to land cover changes were bypassed.
References
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Journal ArticleDOI

Red and photographic infrared linear combinations for monitoring vegetation

TL;DR: In this article, the relationship between various linear combinations of red and photographic infrared radiances and vegetation parameters is investigated, showing that red-IR combinations to be more significant than green-red combinations.
Book

Remote sensing and image interpretation

TL;DR: In this article, the authors present a textbook for introductory courses in remote sensing, which includes concepts and foundations of remote sensing; elements of photographic systems; introduction to airphoto interpretation; air photo interpretation for terrain evaluation; photogrammetry; radiometric characteristics of aerial photographs; aerial thermography; multispectral scanning and spectral pattern recognition; microwave sensing; and remote sensing from space.
Book

Computer vision

Journal ArticleDOI

Statistical and structural approaches to texture

TL;DR: This survey reviews the image processing literature on the various approaches and models investigators have used for texture, including statistical approaches of autocorrelation function, optical transforms, digital transforms, textural edgeness, structural element, gray tone cooccurrence, run lengths, and autoregressive models.

The tasselled cap - A graphic description of the spectral-temporal development of agricultural crops as seen by Landsat

TL;DR: In this article, the time trajectories of agricultural data points as seen in Landsat signal space form a pattern suggestive of a tasselled woolly cap, which is used to estimate and correct atmospheric haze and moisture effects.
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