Multimodal image matching, which refers to identifying and then corresponding the same or
similar structure/content from two or more images that are of significant modalities or …

Analyzing satellite images and remote sensing (RS) data using artificial intelligence (AI)
tools and data fusion strategies has recently opened new perspectives for environmental …

Modality is a source or form of information. Through various modal information, humans can
perceive the world from multiple perspectives. Simultaneously, the observation of remote …

DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep
learning in the field of earth sciences, from four leading voices Deep learning is a …

Deep Learning, and Deep Neural Networks in particular, have established themselves as
the new norm in signal and data processing, achieving state-of-the-art performance in …

Multimodal image registration is the fundamental technique for scene analysis with series
remote sensing images of different spectrum region. Due to the highly nonlinear radiometric …

With rapid advancements in remote sensing image registration algorithms, comprehensive
imaging applications are no longer limited to single-modal remote sensing images. Instead …

Over the past few decades, with the rapid development of global aerospace and aerial
remote sensing technology, the types of sensors have evolved from the traditional …

In recent years, computational intelligence has been widely used in many fields and
achieved remarkable performance. Evolutionary computing and deep learning are important …

With the advent of the era of high-resolution remote sensing, semantic segmentation
methods for solving pixel-level classification have been widely studied. Deep learning has …