國立虎尾科技大學 |

Improvements to Remote Sensing Algorithms Using Machine Learning Neural Networks.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Improvements to Remote Sensing Algorithms Using Machine Learning Neural Networks./
作者:	Pachniak, Elliot.
面頁冊數:	1 online resource (123 pages)
附註:	Source: Dissertations Abstracts International, Volume: 86-01, Section: B.
Contained By:	Dissertations Abstracts International86-01B.
標題:	Remote sensing. -
電子資源:	click for full text (PQDT)
ISBN:	9798383181737

Improvements to Remote Sensing Algorithms Using Machine Learning Neural Networks.
Pachniak, Elliot.

Improvements to Remote Sensing Algorithms Using Machine Learning Neural Networks. - 1 online resource (123 pages)

Source: Dissertations Abstracts International, Volume: 86-01, Section: B.

Thesis (Ph.D.)--Stevens Institute of Technology, 2024.

Includes bibliographical references

Modern satellite remote sensing plays a crucial role in providing data on various water, atmosphere, and land surface conditions. This research introduces improvements to remote sensing methods through a new method for quantifying measurement uncertainties in atmospheric correction algorithms of an existing tool for retrieval of aerosol and marine parameters from ocean color data (OC-SMART); an exploration of the impact of hyperspectral versus multispectral data channels on snow parameter retrieval algorithms; and applications of OC-SMART to Arctic water inherent optical property retrievals. Chapter 1 contains a background on remote sensing of environments; chapter 2 discusses critical tools used in this research; chapter 3 describes how to quantify uncertainties in OC-SMART using Bayesian inversion; chapter 4 explores the impact of hyperspectral information on retrievals of snow grain size and impurity concentration; chapter 5 discusses the application of OC-SMART to Arctic water inherent optical property retrievals; and chapter 6 summarizes the research and provides closing remarks.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798383181737Subjects--Topical Terms:

557272
Remote sensing.
Subjects--Index Terms:

Modern satelliteIndex Terms--Genre/Form:

554714
Electronic books.

Improvements to Remote Sensing Algorithms Using Machine Learning Neural Networks.
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