In recent years, enormous research has been made to improve the classification
performance of single-modal remote sensing (RS) data. However, with the ever-growing …

Vision transformers (ViTs) have been trending in image classification tasks due to their
promising performance when compared with convolutional neural networks (CNNs). As a …

In recent years, convolutional neural networks (CNNs) have drawn significant attention for
the classification of hyperspectral images (HSIs). Due to their self-attention mechanism, the …

Despite the wide availability of remote sensing big data from numerous different Earth
Observation (EO) instruments, the limitations in the spatial and temporal resolution of such …

Sustainable urban development is the key to regional urban development policy-making.
Therefore, the comprehensive spatial zoning of rapidly urbanising areas is important. In this …

The identification and delineation of urban functional zones (UFZs), which are the basic
units of urban organisms, are crucial for understanding complex urban systems and the …

Optical remote sensing image (RSI) is easily affected by weather conditions. When the
ground target is sheltered by clouds, extracting scene information from the RSI becomes …

Multimodal sensors offer a wealth of rich and diverse data, which is helpful for classifying
similar and complex aerial scenes. However, the heterogeneity of the data collected from …

遥感卫星技术的发展使得高空间分辨率的遥感图像得到了更广泛的应用. 然而,
由于高空间分辨率遥感图像通常具有高的类内方差, 因此限制了许多遥感信息提取方法的性能 …

Earthwork-related locations (ERLs), such as construction sites, earth dumping ground, and
concrete mixing stations, are major sources of urban dust pollution (particulate matters). The …