Surveying and Geomatics | 5. Hyperspectral Imaging Systems by Abraham | Learn Smarter
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5. Hyperspectral Imaging Systems

Microwave sensors and hyperspectral imaging systems play critical roles in fields such as agriculture, geology, and environmental monitoring by providing fine-resolution images and extracting valuable spectral information. The evolution of satellite technology, starting from Landsat missions to high-resolution commercial sensors like WorldView, showcases significant advancements in remote sensing capabilities, enabling diverse applications in resource management and urban planning. Moreover, understanding various types of images, including multispectral and hyperspectral, is essential for accurate data interpretation and analysis.

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Sections

  • 4

    Hyperspectral Imaging Systems

    Hyperspectral imaging systems capture more than 100 narrow spectral bands, offering detailed analysis of various phenomena.

  • 4.1

    Description

  • 4.2

    Key Component Technologies

    This section explores various key technologies in remote sensing, particularly focusing on microwave sensors and hyperspectral imaging systems.

  • 4.3

    Applications

    This section discusses the diverse applications of microwave sensors and hyperspectral imaging systems in agriculture, geological studies, remote sensing, and planetary exploration.

  • 4.4

    Drawbacks

    This section discusses the limitations and complexities associated with remote sensing technologies, particularly focusing on microwave sensors and hyperspectral imaging systems.

  • 5

    Some Remote Sensing Satellites And Sensors

    This section discusses various remote sensing satellites and their sensors, focusing on the capabilities and resolutions of different satellite systems.

  • 5.1

    Landsats

    Landsat is a key satellite program for Earth observation, providing valuable data for analyzing land-use changes and various environmental phenomena since 1972.

  • 5.2

    Spot

    The SPOT satellite system has been instrumental in high-resolution Earth observation since 1986, enabling detailed analysis across various sectors.

  • 5.3

    The Indian Remote Sensing (Irs) Satellite

    This section discusses the progression and capabilities of India's IRS satellites in remote sensing technology, their applications, and the range of data they provide.

  • 5.4

    Ikonos

    IKONOS is a high-resolution commercial Earth observation satellite capable of capturing detailed imagery for various applications.

  • 5.5

    Quickbird

    QuickBird is a very high-resolution satellite that provides both panchromatic and multispectral imagery for a variety of applications.

  • 5.6

    Worldview-1

    WorldView-1 is a high-resolution satellite launched in 2007, known for its panchromatic imaging capabilities and its role in remote sensing analysis.

  • 5.15

    Types Of Remote Sensing Images

    This section discusses various types of remote sensing images, including B&W, multispectral, and hyperspectral images, highlighting their characteristics and applications.

  • 5.15.1

    B &w (Panchromatic) Images

    This section discusses the significance and characteristics of panchromatic images in remote sensing, highlighting their uses, comparison with other image types, and processing methods.

  • 5.15.2

    Multispectral Images

    This section discusses the characteristics of multispectral images, including their formation, different types, and applications in remote sensing.

  • 5.15.3

    False Colour Composite (Fcc) Images

    False Colour Composite (FCC) images utilize various spectral bands to represent features in a way that highlights specific characteristics not visible in true color images.

  • 5.15.4

    True Colour Composite (Tcc) Images

    True Colour Composite (TCC) images combine multiple spectral bands to create an image that closely resembles what is observed by the human eye.

  • 5.15.5

    Hyperspectral Images

    Hyperspectral images consist of over a hundred narrow bands collected through imaging spectrometers, allowing for detailed analysis across various fields like vegetation, soil, and water quality.

  • 5.16

    Visual Interpretation Methods

    Visual interpretation methods are crucial for analyzing remote sensing imagery, allowing for the identification and measurement of various objects based on image characteristics.

  • 5.16.1

    Overview

    Microwave sensors and hyperspectral imaging systems play a vital role in various applications, from agriculture to planetary exploration.

  • 5.16.2

    Elements Of Visual Image Interpretation

    This section explores the key components and methods of interpreting visual images derived from remote sensing technologies.

  • 5.16.2.1

    Tone

    Microwave sensors play a significant role in diverse fields such as agriculture, geology, and planetary exploration.

References

5c.pdf

Class Notes

Memorization

What we have learnt

  • Microwave sensors are vital...
  • Hyperspectral imaging enabl...
  • The development of satellit...

Final Test

Revision Tests