IEEE

Oriented Object Detection for Remote Sensing Images via Object-Wise Rotation-Invariant Semantic Representation

Abstract: Oriented object detection (OOD) in remote sensing images (RSIs) remains a challenging work due to an arbitrary orientation of instances. Learning rotation-invariant features is critical in ...
IEEE

Oriented Object Detection via Contextual Dependence Mining and Penalty-Incentive Allocation

Abstract: Oriented object detection in aerial images has made significant advancements propelled by well-developed detection frameworks and diverse representation approaches to oriented bounding boxes ...
Frontiers

A new framework with convoluted oscillatory neural network for efficient object-based land use and land cover classification on remote sensing images

School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu Rigorous urbanization leads to unprecedented climate change. Pune area in India has witnessed recent ...