109 citations · 157 across the 5 of their papers we have counts for
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There Are No Data Like More Data- Datasets for Deep Learning in Earth Observation
Michael Schmitt, Seyed Ali Ahmadi, Yonghao Xu +4
Carefully curated and annotated datasets are the foundation of machine learning, with particularly data-hungry deep neural networks forming the core of what is often called Artific…
Cross-Geography Generalization of Machine Learning Methods for Classification of Flooded Regions in Aerial Images
Sushant Lenka, Pratyush Kerhalkar, Pranav Shetty +3
Identification of regions affected by floods is a crucial piece of information required for better planning and management of post-disaster relief and rescue efforts. Traditionally…
Contextual Information Based Anomaly Detection for a Multi-Scene UAV Aerial Videos
Girisha S, Ujjwal Verma, Manohara Pai M M +1
UAV based surveillance is gaining much interest worldwide due to its extensive applications in monitoring wildlife, urban planning, disaster management, campus security, etc. These…
UVid-Net: Enhanced Semantic Segmentation of UAV Aerial Videos by Embedding Temporal Information
Girisha S, Ujjwal Verma, Manohara Pai M M +1
Semantic segmentation of aerial videos has been extensively used for decision making in monitoring environmental changes, urban planning, and disaster management. The reliability o…
Weed Density and Distribution Estimation for Precision Agriculture using Semi-Supervised Learning
Shantam Shorewala, Armaan Ashfaque, Sidharth R +1
Uncontrolled growth of weeds can severely affect the crop yield and quality. Unrestricted use of herbicide for weed removal alters biodiversity and cause environmental pollution. I…