Sub-pixel mapping and sub-pixel sharpening using neural network predicted wavelet coefficients

• Published in: Remote sensing of environment Vol. 91; no. 2; pp. 225 - 236
• Main Authors: Mertens, Koen C., Verbeke, Lieven P.C., Westra, Toon, De Wulf, Robert R.
• Format: Journal Article
• Language: English
• Published: New York, NY Elsevier Inc 30.05.2004; Elsevier Science
• Subjects: Applied geophysics; Areal geology. Maps; Earth sciences; Earth, ocean, space; Exact sciences and technology; Geologic maps, cartography; Internal geophysics; Neural networks; Resolution; Sub-pixel mapping; Sub-pixel sharpening; Wavelets; Belgium; Western Europe; Sub-pixel mapping; Wavelets; Neural networks; Sub-pixel sharpening; Resolution; algorithms; maps; Spot; Europe; Space remote sensing; neural networks; accuracy; cartography; classification; image analysis; imagery; spatial resolution; Pixel; high resolution

Sub-pixel mapping and sub-pixel sharpening are techniques for increasing the spatial resolution of sub-pixel image classifications. The proposed method makes use of wavelets and artificial neural networks. Wavelet multiresolution analysis facilitates the link between different resolution levels. In...