As one of the important components of Earth observation technology, land use and land
cover (LULC) image classification plays an essential role. It uses remote sensing techniques …

Autoencoders have become a hot researched topic in unsupervised learning due to their
ability to learn data features and act as a dimensionality reduction method. With rapid …

Cultured meat, which involves growing meat in a laboratory rather than breeding animals,
offers potential benefits in terms of sustainability, health, and animal welfare compared to …

Soil moisture content (SMC) acquisition is vital for crop stress diagnosis and precision
irrigation. However, UAV remote sensing-based SMC monitoring usually suffers from low …

Abstract Hyperspectral Image Classification (HSIC) is a challenging task due to the high-
dimensional nature of Hyperspectral Imaging (HSI) data and the complex relationships …

The classifiers based on the convolutional neural network (CNN) and graph convolutional
network (GCN) have demonstrated their effectiveness in hyperspectral image (HSI) …

Harnessing hydrogen through photocatalytic water splitting represents a pivotal stride
towards carbon neutrality. Evaluating ongoing experiments under natural light conditions is …

Hyperspectral target detection (HTD) is a method that recognizes objects of interest in a
scene by a priori target spectrum. Local details and global information on the spectra are …

Pine wood nematode (PWN) is an invasive species which causes pine wilt disease (PWD),
posing a significant threat to coniferous forests globally. Despite its destructive nature …

Stalagmites offer nearly continuous records of past climate in continental settings at high
temporal resolution. The climatic records preserved in stalagmites are commonly …