| タイトル | Use of feature extraction techniques for the texture and context information in ERTS imagery: Spectral and textural processing of ERTS imagery |
| 本文（外部サイト） | http://hdl.handle.net/2060/19750005263 |
| 著者（英） | Haralick, R. H.; Bosley, R. J. |
| 著者所属（英） | Kansas Univ. Center for Research, Inc. |
| 発行日 | 1974-03-17 |
| 言語 | eng |
| 内容記述 | The author has identified the following significant results. A procedure was developed to extract cross-band textural features from ERTS MSS imagery. Evolving from a single image texture extraction procedure which uses spatial dependence matrices to measure relative co-occurrence of nearest neighbor grey tones, the cross-band texture procedure uses the distribution of neighboring grey tone N-tuple differences to measure the spatial interrelationships, or co-occurrences, of the grey tone N-tuples present in a texture pattern. In both procedures, texture is characterized in such a way as to be invariant under linear grey tone transformations. However, the cross-band procedure complements the single image procedure by extracting texture information and spectral information contained in ERTS multi-images. Classification experiments show that when used alone, without spectral processing, the cross-band texture procedure extracts more information than the single image texture analysis. Results show an improvement in average correct classification from 86.2% to 88.8% for ERTS image no. 1021-16333 with the cross-band texture procedure. However, when used together with spectral features, the single image texture plus spectral features perform better than the cross-band texture plus spectral features, with an average correct classification of 93.8% and 91.6%, respectively. |
| NASA分類 | EARTH RESOURCES AND REMOTE SENSING |
| レポートNO | 75N13335
NASA-CR-140655
E75-10011 |
| 権利 | No Copyright |
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