Development of panchromatic image classification techniques for land-use applications

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Image classification is necessary in many land-use applications. Since the advent of multi-spectral imagery a significant effort has been made in optimising techniques to allow their spectral characteristics to be fully exploited. However, there is a vast volume of panchromatic imagery (from aerial cameras and space borne sensors) that would need to be used when long-term studies of land-change are to be undertaken. In addition, there are new sensors such as airborne LIDAR and SAR systems that also provide panchromatic imagery and need to be fully exploited. The goal of this project is to develop improved methods and technologies for the use of panchromatic imagery captured from different remote sensing sensors for image classification applications. The proposed project aims to achieve four major objectives. First, the characteristics of panchromatic imagery from different sensors will be evaluated. Then, methods used for classifying multi-spectral images will be examined for panchromatic image classification. Second, new methods for panchromatic image classification will be developed and tested with respect to the characteristics of panchromatic imagery from different sensors. Innovative new techniques, such as hyper classifier algorithms will also be targeted. Third, with regards to the active sensor technology of LIDAR, the project proposes the development of a LIDAR image intensity catalogue by investigating the effects of sensor altitude, incidence angle of the laser beam, and the target reflectivity on the image intensity values so they can be integrated into the image classification process. Fourth, the project will evaluate the applicability of different image-to-image registration models using point/linear features to integrate of different panchromatic images in the classification process. Generally, the results of the project will contribute to both theory and practice of remote sensing image classification and they will attract the society's attention to the use of panchromatic imagery for different applications.