Recent developments and research in modern machine learning have led to substantial
improvements in the geospatial field. Although numerous deep learning architectures and …

Recent developments and research in modern machine learning have led to substantial
improvements in the geospatial field. Although numerous deep learning architectures and …

Utilizing remote sensing to monitor and obtain the land use information is crucial for
sustainable development goals (SDGs), including sustainable agriculture, urbanization …

In remote sensing image segmentation tasks, various challenges arise, including difficulties
in recognizing objects due to differences in perspective, difficulty in distinguishing objects …

Apple cultivar classification is challenging due to the inter-class similarity and high intra-
class variations. Human experts do not rely on single-view features but rather study each …

Urban scene classification is an interesting area in computer vision. The task involves
classifying a scene from a pair of aerial-view and ground-view images. Existing approaches …