Efficiently and automatically acquiring information on earthquake damage through remote
sensing has posed great challenges because the classical methods of detecting houses …

In regular convolutional neural networks (CNN), fully-connected layers act as classifiers to
estimate the probabilities for each instance in classification tasks. The accuracy of CNNs can …

Urban informal settlements (UISs) are high-density population settlements with low
standards of living and supply. UIS semantic segmentation, which identifies pixels …

Synthetic aperture radar (SAR) image interpretation has long been an important but
challenging task in SAR imaging processing. Generally, SAR image interpretation …

The increasingly mature computer vision (CV) technology represented by convolutional
neural networks (CNN) and available high-resolution remote sensing images (HR-RSIs) …

The buildings in the rural areas of Morocco exist in various shapes and sizes. They are
randomly distributed and are generally constructed of primary materials such as clay, wood …

As an essential material carrier of cultural heritage, the accurate identification and effective
monitoring of buildings in traditional Chinese villages are of great significance to the …

Achieving rapid and accurate localization of winter jujubes in trees is an indispensable step
for the development of automated harvesting equipment. Unlike larger fruits such as apples …

High-resolution remote sensing images contain abundant building information and provide
an important data source for extracting buildings, which is of great significance to farmland …

Dam failure of tailings ponds can result in serious casualties and environmental pollution.
Therefore, timely and accurate monitoring is crucial for managing tailings ponds and …