Multisource and multitemporal data fusion in remote sensing: A comprehensive review of the state of the art
This article brings together the advances of multisource and multitemporal data fusion
approaches with respect to the various research communities and provides a thorough and …
approaches with respect to the various research communities and provides a thorough and …
Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources
This paper reviews the most important information fusion data-driven algorithms based on
Machine Learning (ML) techniques for problems in Earth observation. Nowadays we …
Machine Learning (ML) techniques for problems in Earth observation. Nowadays we …
Hyperspectral and LiDAR data classification based on structural optimization transmission
With the development of the sensor technology, complementary data of different sources can
be easily obtained for various applications. Despite the availability of adequate multisource …
be easily obtained for various applications. Despite the availability of adequate multisource …
Multimodal fusion transformer for remote sensing image classification
Vision transformers (ViTs) have been trending in image classification tasks due to their
promising performance when compared with convolutional neural networks (CNNs). As a …
promising performance when compared with convolutional neural networks (CNNs). As a …
Representation-enhanced status replay network for multisource remote-sensing image classification
Deep-learning-based methods are widely used in multisource remote-sensing image
classification, and the improvement in their performance confirms the effectiveness of deep …
classification, and the improvement in their performance confirms the effectiveness of deep …
Deep hierarchical vision transformer for hyperspectral and LiDAR data classification
Z Xue, X Tan, X Yu, B Liu, A Yu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this study, we develop a novel deep hierarchical vision transformer (DHViT) architecture
for hyperspectral and light detection and ranging (LiDAR) data joint classification. Current …
for hyperspectral and light detection and ranging (LiDAR) data joint classification. Current …
Cross-scene joint classification of multisource data with multilevel domain adaption network
Domain adaption (DA) is a challenging task that integrates knowledge from source domain
(SD) to perform data analysis for target domain. Most of the existing DA approaches only …
(SD) to perform data analysis for target domain. Most of the existing DA approaches only …
Information fusion for classification of hyperspectral and LiDAR data using IP-CNN
Joint use of multisensor information has attracted considerable attention in the remote
sensing community. While applications in land-cover observation benefit from information …
sensing community. While applications in land-cover observation benefit from information …
Classification of hyperspectral and LiDAR data using coupled CNNs
In this article, we propose an efficient and effective framework to fuse hyperspectral and light
detection and ranging (LiDAR) data using two coupled convolutional neural networks …
detection and ranging (LiDAR) data using two coupled convolutional neural networks …
Multisource remote sensing data classification based on convolutional neural network
As a list of remotely sensed data sources is available, how to efficiently exploit useful
information from multisource data for better Earth observation becomes an interesting but …
information from multisource data for better Earth observation becomes an interesting but …