Accurate crop type mapping provides numerous benefits for a deeper understanding of food
systems and yield prediction. Ever-increasing big data, easy access to high-resolution …

Functional zone reflects city's spatial structures, and as a carrier of social and economic
activities, it is of critical significance to urban management, resource allocation and …

Extraction of cultivated land information from high spatial resolution remote sensing images
is increasingly becoming an important approach to digitization and informatization in …

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 …

Conventional geographic object-based image analysis (GEOBIA) land cover classification
methods by using very high resolution images are hardly applicable due to their complex …

Reliable cropland parcel data are vital for agricultural monitoring, yield estimation, and
agricultural intensification assessments. However, the inherently high landscape …

Traditional and convolutional neural network (CNN)-based geographic object-based image
analysis (GeOBIA) land-cover classification methods prosper in remote sensing and …

The predominant form of aquaculture is the facility fishery, which is also subject to significant
impacts from marine disasters. Conducting research on the extraction of facility fishery areas …

The land cover classification of very high-resolution (VHR) remote sensing images is a
challenging task. VHR images depict many complex objects with various shapes in …

Accurate remote sensing image segmentation can guide human activities well, but current
image semantic segmentation methods cannot meet the high‐precision semantic …