Addressing class imbalance in remote sensing using deep learning approaches: a systematic literature review
S Sharma, A Gosain - Evolutionary Intelligence, 2025 - Springer
Class imbalance is one of the major issues for the application of deep learning for remote
sensing imagery. High-resolution remote sensing image sample sets are prone to cause the …
sensing imagery. High-resolution remote sensing image sample sets are prone to cause the …
Large-Scale Fine-Grained Building Classification and Height Estimation for Semantic Urban Reconstruction: Outcome of the 2023 IEEE GRSS Data Fusion Contest
This article presents the scientific outcomes of the 2023 Data Fusion Contest (DFC23)
organized by the Image Analysis and Data Fusion Technical Committee of the IEEE …
organized by the Image Analysis and Data Fusion Technical Committee of the IEEE …
[PDF][PDF] Report on the 2023 IEEE GRSS Data Fusion Contest: Large-Scale Fine-Grained Building Classification for Semantic Urban Reconstruction [Technical …
147 DECEMBER 2023 IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE sequence
of points that delineates the building's contours) or run-length encoding, one fine-grained …
of points that delineates the building's contours) or run-length encoding, one fine-grained …
A domain generalized mask R-CNN for building instance segmentation
Building instance segmentation is a critical task for urban planning. It has been extensively
studied through state-of-the-art instance segmentation models, and great advances have …
studied through state-of-the-art instance segmentation models, and great advances have …