Review Article Digital change detection techniques using remotely-sensed data
Reads0
Chats0
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.read more
Citations
More filters
Journal ArticleDOI
A composed supervised/unsupervised approach to improve change detection from remote sensing
TL;DR: A new approach to performing change detection analyses based on a combination of supervised and unsupervised techniques is presented and it is shown that the new approach correctly detects the ''true change'' without overestimating the ''false'' one.
Journal ArticleDOI
Change Detection Using Adaptive Fuzzy Neural Networks
TL;DR: An adaptive fuzzy neural network classifier for environmental change detection and classification applied to monitor landcover changes resulting from the Gulf War and a hybrid classifier based on conventional statistical methods (MLC/K-means classifier) is developed for comparison purposes to help evaluate the performance of the CDAF network.
Journal ArticleDOI
Unsupervised Multitemporal Spectral Unmixing for Detecting Multiple Changes in Hyperspectral Images
TL;DR: A novel multitemporal spectral unmixing (MSU) approach to address the challenging multiple-change detection problem in bitemporal hyperspectral (HS) images by analyzing the abundances of the change and no-change classes and their contribution to each pixel.
Journal ArticleDOI
Adversarial Instance Augmentation for Building Change Detection in Remote Sensing Images
Hao Chen,Wenyuan Li,Zhenwei Shi +2 more
TL;DR: This article proposes a novel data-level solution, namely, Instance-level change Augmentation (IAug), to generate bitemporal images that contain changes involving plenty and diverse buildings by leveraging generative adversarial training.
Journal ArticleDOI
Change Detection Accuracy and Image Properties: A Study Using Simulated Data
TL;DR: The simulated data experiments showed that the relative accuracy of the change detection methods varied with changes in image properties, thus confirming the hypothesis that caution should be used in generalizing from studies that use only a single image pair.
References
More filters
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.
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
R. J. Kauth,G. S. Thomas +1 more
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.