Advantages and Disadvantages of Hyperspectral Images
Advantages |
Disadvantages |
---|---|
HSI captures hundreds to thousands of narrow, continuous spectral bands. |
HSI systems are often more expensive than traditional imaging systems, both in terms of equipment and operational costs. |
HSI provides a detailed spectral signature of materials, enabling highly precise discrimination between substances that look similar in traditional imaging. |
The high dimensionality of hyperspectral data requires specialized software, substantial computing power, and expertise in analysis techniques. |
HSI can be used in wide range of applications such as agriculture, mineralogy, food industry etc… |
HSI produces vast amounts of data, posing challenges in storage, management, and processing. |
The in-depth spectral analysis allows for the identification and mapping of specific chemical components within a sample or environment. |
HSI data can be susceptible to noise and interference, requiring careful calibration and potential noise-reduction techniques. |
HSI is a non-invasive analysis method making it suitable for sensitive samples across diverse fields. |
HSI systems have a smaller field of view compared to traditional cameras, making them less suitable for some large-scale imaging applications. |
What is Hyperspectral Imaging? Where it is used?
Spectral imaging integrates two distinct fields: spectroscopy and photography, to capture image data across numerous wavelength bands. Typically, spectral imaging is categorized into multispectral, which involves sampling fewer than 20 wavelength bands, and hyperspectral, which encompasses sampling more than 20 wavelength bands.
In this article, we are going to discuss What Hyperspectral Imaging means and where it is used in detail.
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