A software tool that aligns different Chandrayaan-2 lunar images by finding matching points, handling different lighting, angles, and scales to achieve sub-pixel accuracy.
Indian Space Research Organisation(ISRO) · Department of Space / Indian Space Research Organisation · Software
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Decomposed from what the description asks for. Nothing added.
Image Loading and Preprocessing
A module to load source and reference lunar optical images from Chandrayaan-2 datasets.
Feature Matcher
An algorithm that identifies and matches key points between images despite lighting and angle differences.
Geometric Transformation
A component that warps the source image to align with the reference coordinate system.
Accuracy Evaluator
A calculator that measures performance using metrics like RMSE, inlier match count, and inlier ratio.
Both columns are read off the brief's own wording. Nothing here is inferred from the ministry's name.
The evaluators will check if your software achieves sub-pixel accuracy and maintains a uniform distribution of match points across the images. They will also review your registered output products and evaluation metrics like RMSE or inlier ratio.
A jury can still ask about these. Decide them deliberately rather than by accident.
Generated from the brief's own wording and the competition's published rules, never from a guess about what this ministry prefers.
The specific programming languages or frameworks required?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
The exact format of the input and output image files?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
Has any part of this been shown at a previous event, hackathon or college project?
The guidelines are explicit: your solution must not have appeared in any previous event or programme, of any sort. A recycled project is what a team under time pressure reaches for.
The brief asks for image loading and preprocessing. How would you build that?
Decoded from SIH26166 itself: A module to load source and reference lunar optical images from Chandrayaan-2 datasets. The brief asks for it by name.
The brief asks for feature matcher. How would you build that?
Decoded from SIH26166 itself: An algorithm that identifies and matches key points between images despite lighting and angle differences. The brief asks for it by name.
The brief asks for geometric transformation. How would you build that?
Decoded from SIH26166 itself: A component that warps the source image to align with the reference coordinate system. The brief asks for it by name.
The brief asks for accuracy evaluator. How would you build that?
Decoded from SIH26166 itself: A calculator that measures performance using metrics like RMSE, inlier match count, and inlier ratio. The brief asks for it by name.
Why not use what already exists? Name the closest thing to this that is already running.
A team that has not named the alternative themselves is answering this for the first time in the room.
Which single thing will you demonstrate end to end, start to finish, with nothing skipped?
Ours, not a rule: a narrow thing that fully works survives questioning better than a broad thing that half works. If nobody on the team can name it, that is the finding.
Show me this working: the evaluators will check if your software achieves sub-pixel accuracy and maintains a uniform distribution of match points across the images.
This is the evaluator read for your problem statement, decoded from the brief's own wording.
Show me this working: they will also review your registered output products and evaluation metrics like RMSE or inlier ratio.
This is the evaluator read for your problem statement, decoded from the brief's own wording.
What the organisers attached, and what the brief assumes you can get.
Same organisation, same year. Reading two of theirs tells you more about what they care about than reading one.