Using Modified Normalized Spectral Mixture Analysis to Acquire Sub-Pixel Land Cover in a Coastal City

Lei Deng; Xiao Feng Zhao; Hui Na Wang

doi:10.4028/www.scientific.net/AMM.303-306.748

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Study on Monitoring Water Surface in Poyang Lake by MODIS Image
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Using Modified Normalized Spectral Mixture Analysis to Acquire Sub-Pixel Land Cover in a Coastal City
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Data Transmission System for Ground Automatic Disaster Monitoring in Mine
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Humidity and Temperature Wireless Measurement System Based on NRF905 and SHT11 in Coal Mine
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The Measurement on Transmission Characteristic of Fiber Raman Amplifier
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Floor Slipperiness Measurement in a Food Factory
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 303-306Using Modified Normalized Spectral Mixture...

Using Modified Normalized Spectral Mixture Analysis to Acquire Sub-Pixel Land Cover in a Coastal City

Abstract:

Spectral mixture analysis has been widely used in quantifying and monitoring urban land surface composition. Most previous research chose inland cities on flat plains as study areas, masking water before unmixing to acquire acceptable results. As an important type with distinct characteristics, coastal cities should be considered separately. This study took Xiamen as an example of mountainous coastal cities and compared four methods of unmixing using Landsat TM images, before assessing their accuracy through the visual interpretation of a SPOT 5 image. The results show that, for mountainous coastal cities, (1) NSMA (Modified normalized spectral mixture) will lead to spectral confusion between water and impervious surface; (2) Modified NSMA without masking water will lead to spectral confusion between dark mountainous vegetation and impervious surface; (3) Modified NSMA with masking both water and mountainous vegetation achieves better results; and (4) pure pixels of impervious surface and soil chosen from high-resolution images and V through PPI achieve the most accurate unmixing results.