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cs.CV2026
DINO Soars: DINOv3 for Open-Vocabulary Semantic Segmentation of Remote Sensing Imagery
Ryan Faulkenberry, Saurabh Prasad
The remote sensing (RS) domain suffers from a lack of densely labeled datasets, which are costly to obtain. Thus, models that can segment RS imagery well without supervised fine-tu…
cs.CV2025
A Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation viaSynergistic Pseudo-Labeling and Generative Learning
Anan Yaghmour, Melba M. Crawford, Saurabh Prasad
Remote sensing enables a wide range of critical applications such as land cover and land use mapping, crop yield prediction, and environmental monitoring. Advances in satellite tec…
cs.CV2024
Investigation of Hierarchical Spectral Vision Transformer Architecture for Classification of Hyperspectral Imagery
Wei Liu, Saurabh Prasad, Melba Crawford
In the past three years, there has been significant interest in hyperspectral imagery (HSI) classification using vision Transformers for analysis of remotely sensed data. Previous…