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Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

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[A remote sensing band simulation approach based on image spectral library].

Jin-Xiang Shen¹, Xi Chen, Liao Yang

¹Xinjiang Ecology and Geography Institute, Chinese Academy of Sciences, Urumqi 830011, China. shenjinx@126.com

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu

|November 22, 2011

Summary

This study introduces an image spectral library method for simulating satellite bands, improving accuracy and reliability over existing models. The approach enhances spectral band simulation for sensors like SPOT and MSS.

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Area of Science:

Remote Sensing
Image Processing
Spectral Analysis

Context:

Accurate simulation of spectral bands is crucial for remote sensing applications.
Existing methods for spectral band simulation have limitations in precision and reliability.
The need for effective simulation methods for satellite bands lacking in sensors like SPOT and MSS.

Purpose:

To propose and validate a novel image spectral library-based band simulation method.
To enhance the accuracy and stability of spectral band simulation compared to existing approaches.
To enable blue band simulation for satellite sensors that currently lack this capability.

Summary:

A new method clusters reference images based on pixel spectrum similarity to build an image spectral library.
The library is used to train a simulation model by fetching an equal count of samples for each class.
The model simulates target spectral bands, demonstrating improved Root Mean Square Error (RMSE) and stability.

Impact:

The proposed method achieves higher precision in simulating the Thematic Mapper (TM) blue band.
It outperforms "Spectral Library-image" and "image-image" models in terms of RMSE.
The method offers a stable and reliable solution for blue band simulation, applicable to sensors like SPOT and MSS.