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 …

Recent advances in airborne and spaceborne hyperspectral imaging technology have
provided end users with rich spectral, spatial, and temporal information. They have made a …

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 …

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 …

Joint use of multisensor information has attracted considerable attention in the remote
sensing community. While applications in land-cover observation benefit from information …

The key elements that underpin food security require the adaptation of agricultural systems
to support productivity increases while minimizing inputs and the adverse effects of climate …

So far, a large number of advanced techniques have been developed to enhance and
extract the spatially semantic information in hyperspectral image processing and analysis …

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 …

In recent years, airborne and spaceborne hyperspectral imaging systems have advanced in
terms of spectral and spatial resolution, which makes the data sets they produce a valuable …

Convolutional neural networks (CNNs) have attracted increasing attention in the field of
multimodal cooperation. Recently, the adoption of CNN-based methods has achieved …