Abstract Domain adaptation methods are able to transfer knowledge across different
domains, tackling multi-sensor, multi-temporal or cross-regional remote sensing scenarios …

The oil palm tree (Elaeis guineensis Jacq.) is a vital and economically important plant, as the
oil from its fruit is a primary export for many Southeast Asian countries. Hence the health of …

The loss of infrared dim-small target features in the network sampling process is a major
factor affecting its detection accuracy. In order to reduce this loss, this paper proposes YOLO …

In high-resolution remote sensing images (RSIs), complex composite object detection (eg,
coal-fired power plant detection and harbor detection) is challenging due to multiple discrete …

The timely and accurate estimation of above-ground biomass (AGB) is crucial for indicating
crop growth status, assisting management decisions, and predicting grain yield. Unmanned …

Powered by advances of optical remote sensing sensors, the production of very high spatial
resolution multispectral images provides great potential for achieving cost-efficient and high …

Although enormous domain adaptation (DA) approaches have been proposed for cross-
scene hyperspectral image (HSI) classification, the majority of DA methods strongly depend …

Demand for coconut is expected to rise, but the global distribution of coconut palm has been
studied little, which hinders the discussion of its impacts. Here, we produced the first 20 m …

The massive yearly population growth is causing hazards to spread swiftly around the world
and have a detrimental impact on both human life and the world economy. By ensuring early …

Red palm weevil (RPW) is widely considered a key pest of palms, creating extensive
damages to the date palm trunk that inevitably leads to palm death if no pest eradication is …