Object-oriented technology research of high resolution remote sensing image classification

As the application of high resolution remote sensing image is more and more popular, traditional pixel-based classification method reduces the classification accuracy, wastes a large amount of redundant spatial data and generates image which contains noise classification results. This paper focuses on the object-oriented technology research of high-resolution remote sensing image classification. Its core processing steps include image segmentation and image classification.