A python package for processing Polarimetric Synthetic Aperture Radar (PolSAR) data.
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Updated
Sep 22, 2026 - Python
A python package for processing Polarimetric Synthetic Aperture Radar (PolSAR) data.
Planetary image registration engine for lunar optical and NIR datasets under extreme shadow reversals
End-to-end remote-sensing pipeline for detecting and characterising subsurface water ice in the Faustini Permanently Shadowed Region using Chandrayaan-2 DFSAR compact-polarimetry SAR, OHRC imagery, Bayesian inference, and ML validation.
LunaPSR is a scientific image-enhancement and analysis platform for studying the Moon’s Permanently Shadowed Regions using Chandrayaan-2 OHRC imagery, with noise-aware enhancement and physics-based analysis.
Bharatiya Antariksh Hackathon 2026 Submission: A physics-constrained AI pipeline for subsurface lunar water ice detection using Chandrayaan-2 DFSAR, OHRC, and IIRS data.
Recovering terrain from permanently shadowed lunar craters imaged by Chandrayaan-2 OHRC — a seven-stage deterministic pipeline and a trained ONNX network, both running in the browser.
CHANDRA is a robust lunar image registration system for finding and aligning matching regions across Chandrayaan-2 and reference imagery.
🌑 Detection & characterization of subsurface water-ice in lunar South-Pole doubly-shadowed craters (Faustini) from Chandrayaan-2 DFSAR radar (CPR>1 ∧ DOP<0.13) fused with 26 multi-sensor datasets, with landing-site, energy-aware rover-traverse & top-5m ice-volume planning. ISRO BAH 2026 PS8.
End-to-end lunar subsurface ice exploration pipeline using real Chandrayaan-2 DFSAR + OHRC data. Detects ice, selects landing site, plans rover traverse, estimates volume. Bharatiya Antariksh Hackathon 2026 — PS08.
AI-powered multi-modal lunar image registration for Chandrayaan-2 OHRC, TMC-2, IIRS and LRO NAC images with scale, illumination and viewpoint invariant matching.
Automated multi-sensor lunar image registration engine combining feature matching RANSAC homography and sub-pixel alignment (NMI).
Aligning lunar images across Chandrayaan-2's three cameras (OHRC, TMC-2, IIRS) despite differences in scale, sun angle, and sensor type.
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