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Related Concept Videos

Extraction: Advanced Methods00:56

Extraction: Advanced Methods

Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is formed in...
Reducing Line Loss01:18

Reducing Line Loss

In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...
¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
Extraction: Partition and Distribution Coefficients01:14

Extraction: Partition and Distribution Coefficients

The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
For extracting a solute from an aqueous phase into an organic...
Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
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Deconvolution01:20

Deconvolution

Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
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Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
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Published on: June 18, 2021

[Endmember extraction used for hyperspectral imagery loss compression].

Li-Yan Zhang1, De-Rong Chen, Peng Tao

  • 1School of Aerospace Science and Technology, Beijing Institute of Technology, Beijing 100081, China. zhangliyan010@126.com

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|October 11, 2008
PubMed
Summary

This study introduces a novel loss compression method for hyperspectral imagery using endmember extraction. The technique effectively balances high compression ratios with accurate spectral information preservation, overcoming limitations of current methods.

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Area of Science:

  • Remote Sensing
  • Data Compression
  • Spectral Analysis

Context:

  • Hyperspectral imagery generates vast datasets, posing challenges for effective data compression.
  • Existing compression methods struggle to maintain spectral fidelity at high compression ratios.
  • Lossy compression techniques often result in unacceptable information loss.

Purpose:

  • To develop a loss compression method for hyperspectral data that resolves the conflict between high compression rates and accurate spectral information reservation.
  • To improve the utility of hyperspectral imagery by enabling efficient data storage and transmission.

Summary:

  • A novel loss compression method is presented, leveraging endmember extraction techniques.
  • Endmembers are identified using Vertex Component Analysis (VCA), and their fractions are estimated via cosine angle similarity.
  • Endmember spectra and fractions are compressed losslessly, while individual bands utilize JPEG2000 lossy compression, significantly enhancing compression ratios.
  • Experiments on AVIRIS data demonstrate substantial compression ratio increases with minimal spectral angle loss (approx. 2% at 50:1 compression).

Impact:

  • Enables greater utilization of hyperspectral data by addressing storage and transmission limitations.
  • Provides a superior alternative to existing compression methods for hyperspectral imagery.
  • Achieves high compression ratios (e.g., 50:1) while preserving critical spectral information.