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Change detection from remotely sensed images: From pixel-based to object-based approaches
The appetite for up-to-date information about earth's surface is ever increasing, as such
information provides a base for a large number of applications, including local, regional and …
information provides a base for a large number of applications, including local, regional and …
A critical synthesis of remotely sensed optical image change detection techniques
State of the art reviews of remote sensing change detection are becoming increasingly
complicated and disparate due to an ever growing list of techniques, algorithms and …
complicated and disparate due to an ever growing list of techniques, algorithms and …
[HTML][HTML] Object based image analysis for remote sensing
Remote sensing imagery needs to be converted into tangible information which can be
utilised in conjunction with other data sets, often within widely used Geographic Information …
utilised in conjunction with other data sets, often within widely used Geographic Information …
Object-based change detection
Characterizations of land-cover dynamics are among the most important applications of
Earth observation data, providing insights into management, policy and science. Recent …
Earth observation data, providing insights into management, policy and science. Recent …
Image change detection algorithms: a systematic survey
Detecting regions of change in multiple images of the same scene taken at different times is
of widespread interest due to a large number of applications in diverse disciplines, including …
of widespread interest due to a large number of applications in diverse disciplines, including …
[HTML][HTML] Building instance change detection from large-scale aerial images using convolutional neural networks and simulated samples
We present a novel convolutional neural network (CNN)-based change detection framework
for locating changed building instances as well as changed building pixels from very high …
for locating changed building instances as well as changed building pixels from very high …
[كتاب][B] A review on image segmentation techniques with remote sensing perspective
With the growing research on image segmentation, it has become important to categorise
the research outcomes and provide readers with an overview of the existing segmentation …
the research outcomes and provide readers with an overview of the existing segmentation …
An automated object-based approach for the multiscale image segmentation of forest scenes
Over the last decade the analysis of Earth observation data has evolved from what were
predominantly per-pixel multispectral-based approaches, to the development and …
predominantly per-pixel multispectral-based approaches, to the development and …
Free and open source geographic information tools for landscape ecology
Geographic Information tools (GI tools) have become an essential component of research in
landscape ecology. In this article we review the use of GIS (Geographic Information …
landscape ecology. In this article we review the use of GIS (Geographic Information …
[HTML][HTML] Object-based change detection in urban areas from high spatial resolution images based on multiple features and ensemble learning
To improve the accuracy of change detection in urban areas using bi-temporal high-
resolution remote sensing images, a novel object-based change detection scheme …
resolution remote sensing images, a novel object-based change detection scheme …