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Overview

Thanks to the development of satellite technologies, high definition satellites are constantly developed and operated across the world. Consequently, the economic and industrial utilization value of spatial information is growing. In Korea, the development of satellites, equipped with various sensors, such as multi-purpose satellites, communication, ocean meteorological satellites, and science and technology satellites, as well as their operation, is consistently underway. To utilize the images obtained from such various satellites, systematic and scientific quality verification and calibration are essential. The “Cal/Val and Quality Assessment Processor” is a software product that recognizes algorithms for the verification and calibration (Cal/Val) of EO/SAR/IR/Hyperspectral images as well as the identification and enhancement of image quality and features the following major functions.

Features and Functions

- Recognize an algorithm according to Cal/Val and quality 
  factor by characteristics (Spatial/Radiometric/Geometric)
- Supports Cal/Val activity through the evaluation of 
  image quality
- Utilizes image quality enhancement algorithms such 
  as MTFC
- Supports processing of satellite (aviation) images captured 
  through various sensors (EO/SAR/IR/Hyperspectral)
- Supports processing of high volume high definition satellite 
  (aviation) images
- User-oriented and easy-to-use graphical user interface (GUI)

Major Functions

[Viewer]
- Load/Display of imagery and ancillary
- View tools
- Import/Export files 
[Image Quality Assessment and Calibration]
- Assessment, Characterization, Calibration according to 
  image quality parameters 

 

Parameters

Spatial: MTF, GSD, EFL, Swath width, Line rate, Yaw Steering

Radiometric: SNR, Noise, Dynamic range, Saturation, Uniformity, Linearity, (NETD)

Geometric: Pointing accuracy, Location accuracy, Co-registration, Orthoimage accuracy without GCP and with GCP


- Enhancement: Noise filtering/reduction, Sharpening/MTFC,  Artifact    identification, Contrast enhancement, 
  Colorization (Pansharpening)

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Products

Overview

Thanks to the development of satellite technologies, high definition satellites are constantly developed and operated across the world. Consequently, the economic and industrial utilization value of spatial information is growing. In Korea, the development of satellites, equipped with various sensors, such as multi-purpose satellites, communication, ocean meteorological satellites, and science and technology satellites, as well as their operation, is consistently underway. To utilize the images obtained from such various satellites, systematic and scientific quality verification and calibration are essential. The “Cal/Val and Quality Assessment Processor” is a software product that recognizes algorithms for the verification and calibration (Cal/Val) of EO/SAR/IR/Hyperspectral images as well as the identification and enhancement of image quality and features the following major functions.

Features and Functions

- Recognize an algorithm according to Cal/Val and quality 
  factor by characteristics (Spatial/Radiometric/Geometric)
- Supports Cal/Val activity through the evaluation of 
  image quality
- Utilizes image quality enhancement algorithms such 
  as MTFC
- Supports processing of satellite (aviation) images captured 
  through various sensors (EO/SAR/IR/Hyperspectral)
- Supports processing of high volume high definition satellite 
  (aviation) images
- User-oriented and easy-to-use graphical user interface (GUI)

Major Functions

[Viewer]
- Load/Display of imagery and ancillary
- View tools
- Import/Export files 
[Image Quality Assessment and Calibration]
- Assessment, Characterization, Calibration according to 
  image quality parameters 

 

Parameters

Spatial: MTF, GSD, EFL, Swath width, Line rate, Yaw Steering

Radiometric: SNR, Noise, Dynamic range, Saturation, Uniformity, Linearity, (NETD)

Geometric: Pointing accuracy, Location accuracy, Co-registration, Orthoimage accuracy without GCP and with GCP


- Enhancement: Noise filtering/reduction, Sharpening/MTFC,  Artifact    identification, Contrast enhancement, 
  Colorization (Pansharpening)

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