Increasing the potential of Razaksat images for map-updating in the Tropics

8th International Symposium of the Digital Earth

地球科学;计算机科学

Pohl, C.^1 ; Hashim, M.^1

Institute of Geospatial Science and Technology (INSTeG), Universiti Teknologi Malaysia (UTM), 81310 UTM Johor Bahru, Johor, Malaysia^1

关键词: High resolution remote sensing;    High-pass filtering;    Image fusion techniques;    Inclination angles;    Land cover mapping;    Landuse classifications;    Maximum likelihood classifiers;    Panchromatic bands;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/18/1/012029/pdf
DOI  :  10.1088/1755-1315/18/1/012029

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

The high resolution remote sensing satellite Razaksat is a unique satellite system since it operates in a near-equatorial orbit with a low inclination angle of 9. In a first study scientists have found the images suitable for feature extraction in an urban context to update the road network at a scale of 1:25,000. In a preceding project for land cover mapping the research team used the five available bands of Razaksat imagery. This paper describes a continuation of the former study in which techniques are used to fuse the high resolution panchromatic band with the lower resolution multispectral bands. The study investigates the impact of pansharpening on the spatial and spectral content of the data. It compares various image fusion techniques and their impact on land use classification results. The image fusion techniques investigated are Brovey Transform, High Pass Filtering, Principal Component Analysis, Wavelet Approach and Ehlers Fusion. The images are classified using a maximum likelihood classifier. The results show that the use of an appropriate image fusion technique with adequately tuned parameters can improve quality of the resulting thematic maps.