Spatial feature extraction using object-orientedanalysis of satellite images with an emphasis onvisual interpretation of the shape and scale

Using high-resolution satellite images and development of automatic extraction methods based on object-oriented classification methods considerable progress in measuring, monitoring and evaluation of the harvest level is created. In order to extract usefulinformation from an image based on object-oriented, process segment, the primary phenomena in an unclassified image, separates. In this study, with the aim of achieving an appropriate scale for the segment for the extraction of spatial objects, the Quick Bird satelliteimages to extract agricultural land use and human effects (residential) is used. Given the power of different spatial resolution satellite imagery and applications in mind, should the scale and intensity of the different coefficients for the used segment. To implement basicobject vegetation indices processing methods eCognition is used object-oriented software environment

کلیدواژه ها:

Object-oriented classification ، segment ، the spatial resolution ، visualinterpretation