Journal ArticleDOI
Radiometric normalization of multitemporal high-resolution satellite images with quality control for land cover change detection
TLDR
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.About:
This article is published in Remote Sensing of Environment.The article was published on 2002-09-01. It has received 371 citations till now.read more
Citations
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Journal ArticleDOI
Change detection techniques
TL;DR: This paper is a comprehensive exploration of all the major change detection approaches implemented as found in the literature and summarizes and reviews these techniques.
Journal ArticleDOI
A survey of image classification methods and techniques for improving classification performance
Dengsheng Lu,Qihao Weng +1 more
TL;DR: It is suggested that designing a suitable image‐processing procedure is a prerequisite for a successful classification of remotely sensed data into a thematic map and the selection of a suitable classification method is especially significant for improving classification accuracy.
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
Remote sensing imagery in vegetation mapping: a review
TL;DR: An overview of how to use remote sensing imagery to classify and map vegetation cover is presented, focusing on the comparisons of popular remote sensing sensors, commonly adopted image processing methods and prevailing classification accuracy assessments.
Journal ArticleDOI
The potential and challenge of remote sensing‐based biomass estimation
TL;DR: In this article, a review of previous research on remote sensing-based biomass estimation approaches and a discussion of existing issues influencing biomass estimation are valuable for further improving biomass estimation performance, especially in those study areas with complex forest stand structures and environmental conditions.
References
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Journal ArticleDOI
Review Article Digital change detection techniques using remotely-sensed data
TL;DR: An evaluation of results indicates that various procedures of change detection produce different maps of change even in the same environment.
Journal ArticleDOI
The Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for global change research
Christopher O. Justice,Eric Vermote,John R. Townshend,Ruth DeFries,David P. Roy,Dorothy K. Hall,Vincent V. Salomonson,Jeffrey L. Privette,G. A. Riggs,Alan H. Strahler,Wolfgang Lucht,Ranga B. Myneni,Yuri Knyazikhin,Steven W. Running,Ramakrishna R. Nemani,Zhengming Wan,Alfredo Huete,W.J.D. van Leeuwen,Robert E. Wolfe,Louis Giglio,Jan-Peter Muller,Philip Lewis,M.J. Barnsley +22 more
TL;DR: The proposed MODIS standard products for land applications are described along with the current plans for data quality assessment and product validation.
Journal ArticleDOI
Digital change detection in forest ecosystems with remote sensing imagery
Pol Coppin,Marvin E. Bauer +1 more
TL;DR: In this article, a review of the methods and the results of digital change detection primarily in temperate forest ecosystems is presented, and the appropriate choice of digital imagery acquisition dates and interval length for change detection are discussed.
Journal ArticleDOI
Radiometric rectification - Toward a common radiometric response among multidate, multisensor images
TL;DR: In this article, a method is developed for relating scene digital counts among several images of the same scene by identifying radiometric control sets with mean reflectances that are basically constant, which can be used to compute linear transforms that relate digital count values between images.
Journal ArticleDOI
Processing of multitemporal Landsat TM imagery to optimize extraction of forest cover change features
Pol Coppin,Marvin E. Bauer +1 more
TL;DR: Although limited to spectrally-radiometrically defined change classes, results show that the relationship between reflective TM data and forest canopy change is explicit enough to be of operational use in a forest cover change stratification phase prior to a more detailed assessment.