| タイトル | Evaluation of algorithms for estimating wheat acreage from multispectral scanner data |
| 本文（外部サイト） | http://hdl.handle.net/2060/19770007616 |
| 著者（英） | Nalepka, R. F.; Richardson, W.; Pentland, A. P. |
| 著者所属（英） | Environmental Research Inst. of Michigan |
| 発行日 | 1976-05-01 |
| 言語 | eng |
| 内容記述 | The author has identified the following significant results. Fourteen different classification algorithms were tested for their ability to estimate the proportion of wheat in an area. For some algorithms, accuracy of classification in field centers was observed. The data base consisted of ground truth and LANDSAT data from 55 sections (1 x 1 mile) from five LACIE intensive test sites in Kansas and Texas. Signatures obtained from training fields selected at random from the ground truth were generally representative of the data distribution patterns. LIMMIX, an algorithm that chooses a pure signature when the data point is close enough to a signature mean and otherwise chooses the best mixture of a pair of signatures, reduced the average absolute error to 6.1% and the bias to 1.0%. QRULE run with a null test achieved a similar reduction. |
| NASA分類 | EARTH RESOURCES AND REMOTE SENSING |
| レポートNO | 77N14559
NASA-CR-151000
E77-10060
ERIM-109600-69-F |
| 権利 | No Copyright |
