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 …
Remote sensing technologies for enhancing forest inventories: A review
Forest inventory and management requirements are changing rapidly in the context of an
increasingly complex set of economic, environmental, and social policy objectives …
increasingly complex set of economic, environmental, and social policy objectives …
Unsupervised deep change vector analysis for multiple-change detection in VHR images
Change detection (CD) in multitemporal images is an important application of remote
sensing. Recent technological evolution provided very high spatial resolution (VHR) …
sensing. Recent technological evolution provided very high spatial resolution (VHR) …
Domain adaptation for the classification of remote sensing data: An overview of recent advances
The success of the supervised classification of remotely sensed images acquired over large
geographical areas or at short time intervals strongly depends on the representativity of the …
geographical areas or at short time intervals strongly depends on the representativity of the …
An unsupervised remote sensing change detection method based on multiscale graph convolutional network and metric learning
As a fundamental application, change detection (CD) is widespread in the remote sensing
(RS) community. With the increase in the spatial resolution of RS images, high-resolution …
(RS) community. With the increase in the spatial resolution of RS images, high-resolution …
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 …
Tree species classification in tropical forests using visible to shortwave infrared WorldView-3 images and texture analysis
Tropical forest conservation and management can significantly benefit from information
about the spatial distribution of tree species. Very-high resolution (VHR) spaceborne …
about the spatial distribution of tree species. Very-high resolution (VHR) spaceborne …
Rareplanes: Synthetic data takes flight
RarePlanes is a unique open-source machine learning dataset that incorporates both real
and synthetically generated satellite imagery. The RarePlanes dataset specifically focuses …
and synthetically generated satellite imagery. The RarePlanes dataset specifically focuses …
SpaceNet 6: Multi-sensor all weather mapping dataset
J Shermeyer, D Hogan, J Brown… - Proceedings of the …, 2020 - openaccess.thecvf.com
Within the remote sensing domain, a diverse set of acquisition modalities exist, each with
their own unique strengths and weaknesses. Yet, most of the current literature and open …
their own unique strengths and weaknesses. Yet, most of the current literature and open …
Assessing the threat of adversarial examples on deep neural networks for remote sensing scene classification: Attacks and defenses
Deep neural networks, which can learn the representative and discriminative features from
data in a hierarchical manner, have achieved state-of-the-art performance in the remote …
data in a hierarchical manner, have achieved state-of-the-art performance in the remote …