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Comparison of wheat classification accuracy using different classifiers of the image-100 system
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Moreira, M. A. Delima, A. M. Chen, S. C. |
| Copyright Year | 1981 |
| Description | Classification results using single-cell and multi-cell signature acquisition options, a point-by-point Gaussian maximum-likelihood classifier, and K-means clustering of the Image-100 system are presented. Conclusions reached are that: a better indication of correct classification can be provided by using a test area which contains various cover types of the study area; classification accuracy should be evaluated considering both the percentages of correct classification and error of commission; supervised classification approaches are better than K-means clustering; Gaussian distribution maximum likelihood classifier is better than Single-cell and Multi-cell Signature Acquisition Options of the Image-100 system; and in order to obtain a high classification accuracy in a large and heterogeneous crop area, using Gaussian maximum-likelihood classifier, homogeneous spectral subclasses of the study crop should be created to derive training statistics. |
| File Size | 1200207 |
| Page Count | 18 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19820014728 |
| Archival Resource Key | ark:/13960/t9091380k |
| Language | English |
| Publisher Date | 1981-06-01 |
| Access Restriction | Open |
| Subject Keyword | Earth Resources And Remote Sensing Classifications Rural Land Use Multispectral Band Scanners Image Processing Earth Resources Program Spectral Signatures Multispectral Photography Ground Truth Crop Identification Aerial Reconnaissance Accuracy Brazil Maximum Likelihood Estimates Wheat Spectral Reconnaissance Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Technical Report |
