Influence of pansharpening techniques in obtaining accurate vegetation thematic maps

A study on Teide National Park reveals that the Weighted Wavelet ‘à trous’ through Fractal Dimension Maps pansharpening technique, combined with an object-based Support Vector Machine classifier, yields the highest classification accuracy for vegetation thematic maps. This approach addresses the challenges posed by the park's heterogeneous and small-scale species, offering a reliable methodology for natural resource management. The research employed WorldView-2 high-resolution imagery and evaluated seven pansharpening techniques to enhance spatial resolution, aiming to improve the quality of classified images for conservation efforts.

Ibarrola-Ulzurrun, E., Gonzalo-Martin, C., & Marcello-Ruiz, J. (2016). Influence of pansharpening techniques in obtaining accurate vegetation thematic maps. Earth Resources and Environmental Remote Sensing/GIS Applications VII, 10005, 1000515. https://doi.org/10.1117/12.2241501