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 …
A survey on object detection in optical remote sensing images
Object detection in optical remote sensing images, being a fundamental but challenging
problem in the field of aerial and satellite image analysis, plays an important role for a wide …
problem in the field of aerial and satellite image analysis, plays an important role for a wide …
Change detection based on deep siamese convolutional network for optical aerial images
Y Zhan, K Fu, M Yan, X Sun, H Wang… - IEEE Geoscience and …, 2017 - ieeexplore.ieee.org
In this letter, we propose a novel supervised change detection method based on a deep
siamese convolutional network for optical aerial images. We train a siamese convolutional …
siamese convolutional network for optical aerial images. We train a siamese convolutional …
A deep multitask learning framework coupling semantic segmentation and fully convolutional LSTM networks for urban change detection
M Papadomanolaki, M Vakalopoulou… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this article, we present a deep multitask learning framework able to couple semantic
segmentation and change detection using fully convolutional long short-term memory …
segmentation and change detection using fully convolutional long short-term memory …
Multimodal classification of remote sensing images: A review and future directions
Earth observation through remote sensing images allows the accurate characterization and
identification of materials on the surface from space and airborne platforms. Multiple and …
identification of materials on the surface from space and airborne platforms. Multiple and …
Spatial-contextual information utilization framework for land cover change detection with hyperspectral remote sensed images
Land cover change detection (LCCD) using bitemporal remote sensing images is a crucial
task for identifying the change areas on the Earth's surface. However, the utilization of …
task for identifying the change areas on the Earth's surface. However, the utilization of …
Information from imagery: ISPRS scientific vision and research agenda
With the increased availability of very high-resolution satellite imagery, terrain based
imaging and participatory sensing, inexpensive platforms, and advanced information and …
imaging and participatory sensing, inexpensive platforms, and advanced information and …
IoT enabled deep learning based framework for multiple object detection in remote sensing images
Advanced collaborative and communication technologies play a significant role in intelligent
services and applications, including artificial intelligence, Internet of Things (IoT), remote …
services and applications, including artificial intelligence, Internet of Things (IoT), remote …
Deep nonsmooth nonnegative matrix factorization network with semi-supervised learning for SAR image change detection
In the paper, we propose a deep nonsmooth nonnegative matrix factorization (nsNMF)
network with semi-supervised learning for synthetic aperture radar (SAR) image change …
network with semi-supervised learning for synthetic aperture radar (SAR) image change …