Optimization of Agricultural Crop Identification in SLAR Images: Hierarchic Classification and Texture Analysis
conference paper
In 1980 a large SLAR flight program was carried out over an agricultural area in The Netherlands. A classification study on this multitenporal dataset (Ref, l) showed that high accuracies are obtained from a simultaneous classification of 3 flights. In this paper the results of a follow on study will be discussed. The goal is to obtain the best possible classification result in the earliest possible stage of the growing season. Therefore the SLAR flights from April, May, June and July were analyzed and the hierarchic classifier is introduced. Very satisfying results were obtained fron a combination of 3 flights: 1 in May, 2 in July at different incidence angles. In a next part of this paper, within field texture is investigated as a possible extra feature. Texture measures were determined from the Gray Level Co-Occurence Matrix (Ref. 2), which is known to be rather sensitive for small texture elements, in the order of pixel dimensions. Sofar the within field variations do not seem to contribute substantially to a classification process.
TNO Identifier
489163
Publisher
European Space Agency (ESA)
Source title
Proceedings EARSeL Workshop 'Microwave remote sensing applied to vegetation', 10-12 December 1984, Amsterda, The Netherlands
Place of publication
Paris
Pages
41-48