Change detection techniques for remote sensing applications: A survey
A Asokan, J Anitha - Earth Science Informatics, 2019 - Springer
Change detection captures the spatial changes from multi temporal satellite images due to
manmade or natural phenomenon. It is of great importance in remote sensing, monitoring …
manmade or natural phenomenon. It is of great importance in remote sensing, monitoring …
Analysis on change detection techniques for remote sensing applications: A review
Satellite images taken on the earth's surface are analyzed to identify the spatial and
temporal changes that have occurred naturally or manmade. Real-time prediction of change …
temporal changes that have occurred naturally or manmade. Real-time prediction of change …
A new end-to-end multi-dimensional CNN framework for land cover/land use change detection in multi-source remote sensing datasets
ST Seydi, M Hasanlou, M Amani - Remote Sensing, 2020 - mdpi.com
The diversity of change detection (CD) methods and the limitations in generalizing these
techniques using different types of remote sensing datasets over various study areas have …
techniques using different types of remote sensing datasets over various study areas have …
Integration of convolutional neural networks and object-based post-classification refinement for land use and land cover mapping with optical and SAR data
Object-based image analysis (OBIA) has been widely used for land use and land cover
(LULC) mapping using optical and synthetic aperture radar (SAR) images because it can …
(LULC) mapping using optical and synthetic aperture radar (SAR) images because it can …
Supervised methods of image segmentation accuracy assessment in land cover mapping
Land cover mapping via image classification is sometimes realized through object-based
image analysis. Objects are typically constructed by partitioning imagery into spatially …
image analysis. Objects are typically constructed by partitioning imagery into spatially …
Optimal feature selection for SAR image classification using biogeography-based optimization (BBO), artificial bee colony (ABC) and support vector machine (SVM): a …
Land cover classification is one of the most important applications of POLSAR images. In
this paper, a hybrid biogeography-based optimization support vector machine (HBBOSVM) …
this paper, a hybrid biogeography-based optimization support vector machine (HBBOSVM) …
Polarimetric SAR change detection with the complex Hotelling–Lawley trace statistic
In this paper, we propose a new test statistic for unsupervised change detection in
polarimetric radar images. We work with multilook complex covariance matrix data, whose …
polarimetric radar images. We work with multilook complex covariance matrix data, whose …
NestNet: A multiscale convolutional neural network for remote sensing image change detection
X Yu, J Fan, J Chen, P Zhang, Y Zhou… - International Journal of …, 2021 - Taylor & Francis
With the rapid development of remote sensing technologies, the frequency of observations
of the same location is increasing, and many satellites and sensors produced a large …
of the same location is increasing, and many satellites and sensors produced a large …
A residual convolutional neural network for polarimetric SAR image super-resolution
PolSAR images provide rich polarimetric information, however, due to the limitations of the
imaging system, the spatial resolution decreases while the richer polarimetric information is …
imaging system, the spatial resolution decreases while the richer polarimetric information is …
Satellite-based change detection in multi-objective scenarios: A comprehensive review
B Farooq, A Manocha - Remote Sensing Applications: Society and …, 2024 - Elsevier
Satellite-based change detection is essential for addressing multi-objective scenarios. This
review provides a comprehensive analysis of its applications and methodologies, focusing …
review provides a comprehensive analysis of its applications and methodologies, focusing …