Advancements in Data Processing and Calibration for the Hyperspectral Imaging Satellite (HySIS)

TL;DR

This paper discusses the calibration procedures, data processing pipeline, and performance validation of India's HySIS hyperspectral satellite, emphasizing its capability for high-quality Earth surface imaging and operational enhancements.

Contribution

It presents comprehensive calibration methods, data processing algorithms, and performance assessments that improve the reliability and effectiveness of hyperspectral data from HySIS.

Findings

Successful pre-launch calibration ensuring data accuracy

In-orbit radiometric and geometric validation confirming performance

Development of specialized algorithms for operational data enhancement

Abstract

Hyperspectral imaging is a powerful tool for Earth exploration, allowing for detailed analysis of spectral features. India has launched a dedicated hyperspectral Earth observation satellite capable of capturing data across a wide electromagnetic spectrum from 400 nm to 2500 nm, with an impressive spatial resolution of 30 meters. This paper details the comprehensive calibration procedures performed before launch to ensure data accuracy and instrument optimization for Hysis payload. Performance metrics demonstrate the satellite's ability to deliver high-quality imagery of the Earth's surface. In-orbit radiometric and geometric calibration further validated the satellite's functionality, while observations and anomalies encountered during this phase led to the development of specialized algorithms for operational enhancement. The paper outlines the operational data processing pipeline, covering stages from raw data acquisition to final image generation. A thorough assessment of the satellite's radiometric and geometric quality reinforces its reliability and effectiveness, highlighting its contribution to advancing Earth exploration through hyperspectral imaging technology.