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cs.CV2025
IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation
Oishee Bintey Hoque, Abhijin Adiga, Aniruddha Adiga +6
Accurate canal network mapping is essential for water management, including irrigation planning and infrastructure maintenance. State-of-the-art semantic segmentation models for in…
cs.CV2025
Knowledge-Informed Deep Learning for Irrigation Type Mapping from Remote Sensing
Oishee Bintey Hoque, Nibir Chandra Mandal, Abhijin Adiga +4
Accurate mapping of irrigation methods is crucial for sustainable agricultural practices and food systems. However, existing models that rely solely on spectral features from satel…
cs.CV2025
IrrMap: A Large-Scale Comprehensive Dataset for Irrigation Method Mapping
Nibir Chandra Mandal, Oishee Bintey Hoque, Abhijin Adiga +7
We introduce IrrMap, the first large-scale dataset (1.1 million patches) for irrigation method mapping across regions. IrrMap consists of multi-resolution satellite imagery from La…