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  1. NTNU SmallSat Lab For Students Past Projects
  2. Project and master assignments 2022
  3. HYPSO-1 data georectification using direct and indirect methods

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HYPSO-1 data georectification using direct and indirect methods

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  • Project and Master Subjects 2025-2026
  • Past Projects
    • Project and Master Subjects 2024-2025
    • Project and Master Subjects 2023-2024
    • Project and master assignments 2022
      • Ocean Color Data Analysis
      • Software Development for Optical CubeSat Payload
      • Ensemble Biomass Estimation
      • Topics on Hyperspectral Image Encoding
      • Atmospheric Correction of HYPSO-1
      • Remote sensing data fusion for algae detection
      • HYPSO hyperspectral satellite data fusion with in-situ sensors
      • HYPSO-1 data georectification using direct and indirect methods
      • Generation and calibration of HYPSO-1 data products
      • Sentinel satellite multispectral data to aid HYPSO-1 imaging
      • Verification and validation of HYPSO-2 optical payload
      • HYPSO-2: Designing a Software-defined-radio (SDR) application experiment for communication between on-ground sensor systems
      • HYPSO-2: Designing experiment for channel characterization using the Software-defined-radio (SDR) payload in HYPSO-2
      • HYPSO - Space environment effects on hyperspectral imager: performing thermal experiments and modelling
      • Software Development for Optical CubeSat Payload
      • Re-design and re-configuration for hardware-software test-bench for HYPSO-1 and HYPSO-2 (FlatSat)
      • Automation of operations for the HYPSO-1 satellite
      • HYPSO - Georeferencing, operations - Incorporating ADCS telemetry into the OPU
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HYPSO-1 data georectification using direct and indirect methods

The HYPSO-1 mission is collecting hyperspectral data across the world. We want to develop a toolbox building on existing frameworks to generate standard and intercompatible data products. 

The HYPSO-1 mission is collecting hyperspectral data across the world. We want to develop a toolbox building on existing frameworks to generate standard and intercompatible data products, for easier comparison with other earth observation satellites. This project will be about the georeferencing processing step, which is concerned about finding geographic location of pixels and generating map products. 

Georeferencing methods can be grouped into two kinds of methods: Direct methods do not use pre-existing map products and use purely the satellite metadata to compute locations. Indirect methods find locations by comparing spatial features with already existing maps. 

The accuracy of direct georeferencing methods is highly dependent on attitude and timing knowledge. Augmenting direct methods with indirect methods could improve the quality of the processing algorithms and the resulting data products, when attitude and timing knowledge is imperfect. This project is about theorizing and implementing processing algorithms or tools, that combines both direct and indirect georeferencing methods for the Hypso-1 satellite data processing chain. 

For more information or questions, contact Dennis Langer (dennis.d.langer@ntnu.no) or Joe Garret (joseph.garret@ntnu.no) 

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