Land cover change detection techniques: Very-high-resolution optical images: A review
Land cover change detection (LCCD) with remote sensing images is an important
application of Earth observation data because it provides insights into environmental health …
application of Earth observation data because it provides insights into environmental health …
Change detection from very-high-spatial-resolution optical remote sensing images: Methods, applications, and future directions
Change detection is a vibrant area of research in remote sensing. Thanks to increases in the
spatial resolution of remote sensing images, subtle changes at a finer geometrical scale can …
spatial resolution of remote sensing images, subtle changes at a finer geometrical scale can …
Iterative training sample augmentation for enhancing land cover change detection performance with deep learning neural network
Labeled samples are important in achieving land cover change detection (LCCD) tasks via
deep learning techniques with remote sensing images. However, labeling samples for …
deep learning techniques with remote sensing images. However, labeling samples for …
Large-scale deep learning based binary and semantic change detection in ultra high resolution remote sensing imagery: From benchmark datasets to urban …
With the acceleration of urban expansion, urban change detection (UCD), as a significant
and effective approach, can provide the change information with respect to geospatial …
and effective approach, can provide the change information with respect to geospatial …
[HTML][HTML] Change detection methods for remote sensing in the last decade: A comprehensive review
Change detection is an essential and widely utilized task in remote sensing that aims to
detect and analyze changes occurring in the same geographical area over time, which has …
detect and analyze changes occurring in the same geographical area over time, which has …
Unsupervised change detection by cross-resolution difference learning
X Zheng, X Chen, X Lu, B Sun - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Change detection (CD) aims to identify the differences between multitemporal images
acquired over the same geographical area at different times. With the advantages of …
acquired over the same geographical area at different times. With the advantages of …
Remote sensing image scene classification using CNN-MLP with data augmentation
Classification of the very high-resolution (VHR) imagery scene has become a challenging
problem. The convolutional neural network (CNN) has increased the accuracy in this area …
problem. The convolutional neural network (CNN) has increased the accuracy in this area …
Identifying urban building function by integrating remote sensing imagery and POI data
Identifying urban building function plays a critical role in understanding the complexness of
urban construction and improving the effectiveness of urban planning. The emergence of …
urban construction and improving the effectiveness of urban planning. The emergence of …
Change detection meets visual question answering
The Earth's surface is continually changing, and identifying changes plays an important role
in urban planning and sustainability. Although change detection techniques have been …
in urban planning and sustainability. Although change detection techniques have been …
[HTML][HTML] A multiscale graph convolutional network for change detection in homogeneous and heterogeneous remote sensing images
To date, although numerous methods of Change detection (CD) in remote sensing images
have been proposed, accurately identifying changes is still a great challenge, due to the …
have been proposed, accurately identifying changes is still a great challenge, due to the …