Effect of hyperspectral image denoising with PCA and total variation on tree species mapping using Apex Data

Vancoillie, Frieke and Liao, Wenzhi and Devriendt, Flore and Gautama, Sidharta and De Wulf, Robert and Vandekerkhove, Kris (2014) Effect of hyperspectral image denoising with PCA and total variation on tree species mapping using Apex Data. South-Eastern European Journal of Earth Observation and Geomatics, 3 (25). pp. 281-286. ISSN 2241-1224

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Abstract

In this paper, the impact of image denoising on feature selection and tree species mapping accuracy is assessed. We apply a novel algorithm for hyperspectral (HS) image denoising using principal component analysis (PCA) and total variation (TV). The method is embedded in an object‐based classification framework and tested for complex forests with closed canopies and scarce reference data. Results show that, under the given conditions, HS image denoising is beneficial yielding stable mapping results with acceptable accuracy levels. Denoising also affected feature selection processing time with a time gain of 41.6%.

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