Anomaly Detection on Martian's Surface Using Deep Learning

Local Chapter Ahmedabad, India Chapter

Coordinated byIndia ,

Amal Mathew Mathew
, Clinton Anani
, Toshita Sharma

Status: Completed

Project Duration: 18 Dec 2021 - 20 Jan 2022

Open Source resources available from this project

Github Repository

Project background.

1. The martian surface is very uneven and hence it contains a lot of anomalies

2. The objective of this project is to detect the Anomalies on the martian (MARS) surface caused by non-terrestrial artifacts like derbies of MARS lander missions, rovers, etc.

3. Recently looking for extraterrestrials in the form of technosignatures has gained new interest. These signatures are measurable properties that provide scientific evidence of past or present extraterrestrial technology. Scientists want to evaluate how far the search for technosignatures has come and what the most promising possibilities for the future are.

The problem.

In this 4-week project, the goal is to build a model to analyze and model different anomalies on the martian surface 

Project goals.

- Researching different kinds of models already present and what the collaborators can do to make it better
- Understand different deep learning-based models
- Understand the use of CNNs and pre-trained models

Project plan.

  • Week 1

    – Searching dataset
    – Collection of the dataset
    – Image pre-processing

  • Week 4

    – Deploy web app using Streamlit or Django framework
    – Finish Integrating WebApp
    – Deploy the App in Cloud Application Platforms/Heroku

Learning outcomes.

1. Data Pre-processing
2. Model building
3. Use of new models to produce a comparative analysis

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