Change detection is an important task in remote sensing (RS) image analysis. It is widely
used in natural disaster monitoring and assessment, land resource planning, and other fields. …

Change detection is an important tool for long-term Earth observation missions. It takes bi-temporal
images as input and predicts “where” the change has occurred. Different from other …

Artificial Intelligence for disease identification is currently the focus of great research interest.
Nonetheless, the approach has some problems, for example, identification takes a long time…

Background Automatic and accurate estimation of disease severity is critical for disease
management and yield loss prediction. Conventional disease severity estimation is performed …

Change detection (CD) is a critical task to observe and analyze dynamic processes of land
cover. Although numerous deep-learning (DL)-based CD models have performed excellently, …

Online analytical processing (OLAP) is a core functionality in database systems. The performance
of OLAP is crucial to make online decisions in many applications. However, it is rather …

The effective utilization of multimodal data (eg, hyperspectral and light detection and ranging
(LiDAR) data) has profound implications for further development of the remote sensing (RS…

Plant diseases are the main factors affecting the agricultural production. At present, improving
the efficiency of plant disease identification in natural scenarios is a crucial issue. Due to …

The Xianshuihe (XSH) fault in eastern Tibet is one of the most active faults in China, with the
next large earthquake most likely to occur along its SE part, where the fault splits into three …

It is a challenge to explore highly efficient photocatalysts for the degradation of pharmaceutical
contaminant under visible light. In this work, a series of gC 3 N 4 -CdS/Bi 4 O 5 I 2 …