Irrigated and Non-Irrigated Wheat Classification Based on Cultivation Calendar by IHS Algorithm

Abstract

In order to extract the wheat the bi-temporal Spot images were ordered based on cultivation calendar of wheat and other crops. As the crops reflection properties showed many variations, for precise classification many signatures are needed. Appropriate bands for classification were selected by divergence algorithm. These bands converted to IHS and for recognizing the reflection changes in the cultivated areas, appropriate parameters for Hue and Saturation were used and all of the wheat cultivated areas were classified. The result of hue was used as input for extracting Irrigated and non-irrigated wheat by saturation. The results showed that in limited signatures and bands, IHS method acts more efficiently than other classification methods such as maximum likelihood and spectral angel mapper.