Water body extraction from OLI remote sensing images based on spatial-spectral angle matching and multi-index method

doi:10.13474/j.cnki.11-2246.2019.0389

Abstract

Abstract: Aiming at the disadvantage of low precision of water body remote sensing extraction under complex environment, a water body information extraction method based on space-spectral angle matching and multi-index method is proposed. Compared with single-band threshold method, normalized difference water index method (NDWI), spectral angle matching method (SAM), automatic water extraction index method (AWEI) and one-class support vector machine (OC-SVM), the water extraction results are analyzed and the accuracy is evaluated. Experiments in two research areas on Landsat 8 OLI images show that the new method takes into account the complementary advantages of multi-features. The spatial information introduced can effectively suppress noise and the pixel-based extraction strategy can maintain the edge information of the water body better, and avoid the situation of smoothing the details. Compared with traditional methods, this method is least disturbed by vegetation, buildings and shadows, and has better recognition ability for small water bodies.

Key words: OLI images, spatial-spectral feature, LBV transformation, one-class support vector machine, water body extraction

CLC Number:

P237

ZHANG Qihua, WANG Shengli, SUN Lei, JIANG Yi. Water body extraction from OLI remote sensing images based on spatial-spectral angle matching and multi-index method[J]. Bulletin of Surveying and Mapping, 2019, 0(12): 71-76.

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