Optimum information acquisition under radiometric resolution constraint in spaceborne remote sensing

Richard K. Kiang

doi:10.1117/12.21416

1 November 1990 Optimum information acquisition under radiometric resolution constraint in spaceborne remote sensing

Richard K. Kiang

Proceedings Volume 1301, Digital Image Processing and Visual Communications Technologies in the Earth and Atmospheric Sciences; (1990) https://doi.org/10.1117/12.21416
Event: 1990 Technical Symposium on Optics, Electro-Optics, and Sensors, 1990, Orlando, FL, United States

Abstract

Since the beginning of space-borne remote sensing less than two decades ago, sensor technologies have greatly advanced. State-of-the-art sensor systems, such as the Earth Observing System (Eos), will have higher spatial, spectral, radiometric resolutions, which are selected together to enhance the capabilities of differentiating surface categories. Multiple, pointable platforms covering different parts of electromagnetic spectrum will circle the earth, detect and monitor terrestrial changes, and measure the essential surface and atmospheric parameters. It is anticipated that sensors of future generations will have even greater spectral, spatial, and radiometric resolutions. However, resolutions cannot increase without bound. Noise of electronic, mechanical, optical, and atmospheric origins limits the effective resolutions of the measurements. In this paper, several aspects of the effects of radiometric resolution on remotely sensed data are examined. It is shown that higher radiometric resolution indeed improves information content. But to improve the utilization of the spectrometer, radiometric sensitivity must also be modified. Using clusters constructed from empirical signatures, it is shown that discriminability between clusters converges beyond 6 bits. It is also shown that the information content of current sensor measurements is not limited by the atmosphere, but by the sensitivity settings of the spectrometers. It is proposed that a spectrometer with variable sensitivity and capable of sampling scene radiance into full dynamic range be used as a means of optimizing information content. If implemented, the same amount of information content currently observed could be measured with fewer bits.

Citation Download Citation

Richard K. Kiang "Optimum information acquisition under radiometric resolution constraint in spaceborne remote sensing", Proc. SPIE 1301, Digital Image Processing and Visual Communications Technologies in the Earth and Atmospheric Sciences, (1 November 1990); https://doi.org/10.1117/12.21416

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
9 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Radiometric resolution

Sensors

Spectroscopy

Atmospheric sensing

Remote sensing

Atmospheric optics

Earth's atmosphere

Show All Keywords

Keywords/Phrases

Search In:

Publication Years