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Numerical trials of HISSEThe mathematical description and implementation of the statistical estimation procedure known as the Houston integrated spatial/spectral estimator (HISSE) is discussed. HISSE is based on a normal mixture model and is designed to take advantage of spectral and spatial information of LANDSAT data pixels, utilizing the initial classification and clustering information provided by the AMOEBA algorithm. The HISSE calculates parametric estimates of class proportions which reduce the error inherent in estimates derived from typical classify and count procedures common to nonparametric clustering algorithms. It also singles out spatial groupings of pixels which are most suitable for labeling classes. These calculations are designed to aid the analyst/interpreter in labeling patches with a crop class label. Finally, HISSE's initial performance on an actual LANDSAT agricultural ground truth data set is reported.
Document ID
19810004914
Acquisition Source
Legacy CDMS
Document Type
Contractor Report (CR)
Authors
Peters, C. (Houston Univ. TX, United States)
Kampe, F. (Houston Univ. TX, United States)
Date Acquired
September 4, 2013
Publication Date
August 5, 1980
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
NASA-CR-160881
E81-10069
SR-H0-00477
Accession Number
81N13425
Funding Number(s)
PROJECT: PROJ. AGRISTARS
CONTRACT_GRANT: NAS9-14689
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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