Image Fusion and Improving Classification Accuracy: A Survey

This paper focuses the image fusion of high-resolution satellite image and airborne light detection and ranging (LIDAR) data of urban area for improving classification accuracy. In urban area an image can be covered by numerous large buildings, skyscrapers, commercial and industrial structures, community parks, residential buildings, highways and bridges. Misclassification of shadows, water and roof gardens are major problem with such images. The various image fusion and classification technique in this paper were survived.