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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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Assessing land cover and soil quality by remote sensing and geographical information systems (GIS)

TL;DR: In this paper, the authors discuss the current approaches, identify gaps and propose improvements in techniques for measuring soil quality within agricultural fields, and discuss the availability of new generations of remotely sensed datasets and geographical information system (GIS) models.
Journal ArticleDOI

Dynamics of Usangu plains wetlands: Use of remote sensing and GIS as management decision tools

TL;DR: In this article, the authors investigated long-term and seasonal changes that have occurred as a result of human and developmental activities in the study area for the periods between 1973 and 1984, and between 1984 and 2000.
Journal ArticleDOI

Land Cover Change Detection at Subpixel Resolution With a Hopfield Neural Network

TL;DR: It was found that the proposed HNN with an FSRM method can separate more real changes from noise and produce more accurate LCCD results than the state-of-the-art methods.
Journal ArticleDOI

Land-use land-cover change and ecosystem loss in the Espinal ecoregion, Argentina

TL;DR: Examining LULC transitions from 1987 to 2001 and from 2001 to 2009 in two adjacent watersheds located in the Espinal, one of the least protected ecoregions of Argentina, detected a 20% loss in ecosystems for the period analyzed and 60% of native forests were lost.
Journal ArticleDOI

Super-resolution-based Change Detection Network with Stacked Attention Module for Images with Different Resolutions

TL;DR: Wang et al. as discussed by the authors proposed a super-resolution-based change detection network (SRCDNet), which employs a super resolution (SR) module containing a generator and a discriminator to directly learn SR images through adversarial learning and overcome the resolution difference between bi-temporal images.
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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