README.md

metadata

title: Pixelwise Classification
emoji: 🛰️
colorFrom: blue
colorTo: green
sdk: static
pinned: false

Pixelwise Classification

Project Overview

This repository contains research and codebase developments from an internship at the Indian Space Research Organisation (ISRO).

Research Focus

The primary objective of this work involves the application of advanced machine learning techniques and remote sensing foundation models (including SatMAE and Prithvi). The code herein specifically targets the temporal classification of Rabi crops within the Patiala district, contributing to an explainable hybrid classification framework for agricultural monitoring.

Contents

• HTML Validation Page: A statically rendered version of the Jupyter Notebook containing all mathematical formulations, code execution steps, and output visualizations (graphs/metrics) for instant academic review.
• Source Notebook: The sanitized .ipynb file for reproducibility. (Note: API keys and connection tokens have been redacted for security).