Unsupervised Classification of Aviris-NG Hyperspectral Images

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Detail(s)

Original languageEnglish
Title of host publication2021 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)
PublisherIEEE
ISBN (Electronic)9781665436014
ISBN (Print)9781665411745
Publication statusPublished - 2021

Publication series

NameWorkshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
ISSN (Print)2158-6268
ISSN (Electronic)2158-6276

Conference

Title11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS 2021)
LocationOnline
PlaceNetherlands
CityAmsterdam
Period24 - 26 March 2021

Abstract

In hyperspectral imaging for remote sensing, learning from unlabeled data by unsupervised methods is very challenging and it is the subject of considerable recent interest since the collection of large datasets by aircraft, UAVs and satellites has become ubiquitous. We experiment with unsupervised endmember extraction and classification of hyperspectral data collected over India by NASA's AVIRIS-NG airborne remote sensor. We have downloaded some of this data from the NASA-JPL portal in Pasadena, CA, for the purpose of studying land cover and land usage, and especially forests, in India. We report on results from our experiments with unsupervised endmember-based methods and clustering methods for classifying images from a mixed forest region that we selected from the Shoolpaneshwar Wildlife Sanctuary in Western In-dia. Randomized numerical methods are used to speed up the large-scale computations.

Research Area(s)

  • clustering, endmembers, forests, India, randomized computations, unlabeled AVIRIS-NG data, Unsupervised hyperspectral classification

Citation Format(s)

Unsupervised Classification of Aviris-NG Hyperspectral Images. / Cui, Kangning; Plemmons, Robert J.

2021 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2021. 9484006 (Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review