Change detection is a vibrant area of research in remote sensing. Thanks to increases in the
spatial resolution of remote sensing images, subtle changes at a finer geometrical scale can …

Change Detection (CD) provides a research basis for environmental monitoring, urban
expansion and reconstruction as well as disaster assessment, by identifying the changes of …

Change detection plays a crucial role in observing earth surface transition and has been
widely investigated using deep learning methods. However, the current deep learning …

High spatial resolution (HSR) remote sensing images can reflect more subtle changes and
more specific types of land use and land cover (LULC) due to the abundant spatial …

Scale is of great significance in image analysis and interpretation. In order to utilize scale
information, multiscale fusion is usually employed to combine change detection (CD) results …

The drawback of pixel-based change detection is that it neglects the spatial correlation with
neighboring pixels and has a high commission ratio. In contrast, object-based change …

Urban impervious surface (UIS) offers potentially valuable information for the development
of sustainable urban management strategies and environmental change monitoring actions …

Extracting farmland from high spatial resolution remote sensing images is a basic task for
agricultural information management. According to Tobler's first law of geography, closer …

Accurate and quantitative description of spatial pattern of urban greenspace and its change
over time is crucial for understanding ecosystem service provision and urban sustainability …

Satellite image time series change detection methods provide comprehensive
understanding of land cover changes. Traditional bi-temporal change detection methods in …