Noise-signal index threshold: a new noise-reduction technique for generation of reference spectra and efficient hyperspectral image classification

作者：Kusuma K N; Ramakrishnan D^*; Pan***** H S; Kailash G

来源：Geocarto International, 2010, 25(7): 569-580.

DOI：10.1080/10106049.2010.510582

• reflectance spectra
• noise
• empirical correction
• classification
• hyperspectral remote sensing

Reference spectra of terrestrial targets are usually collected using field spectro-radiometers for mineral abundance mapping and target detection. These spectra often have noise that masks characteristic absorption and reflection features and affects the efficiency of material mapping. This work aims at obtaining an empirical technique for reduction of high-frequency noise from field spectra. The proposed noise correction technique uses a 'normalized' measure R-n, where R-n = (L-n - F-n)/L-n for each band (n) calculated from field and laboratory spectra of test material, with F-n and L-n being the depth of the absorption feature in field and laboratory spectra, respectively. On the basis of the assumption of the constancy of this ratio in neighbouring bands, an empirical algorithm that approximates the ratio R-n of a noisy band to the corrected ratio of an adjacent band is used to obtain the noise-corrected field spectra. The classification accuracy increases significantly when noise reduced field spectra are used as reference spectra.

• 出版日期2010