Understanding the resampling options

Resampling extracts and interpolates the gray levels from the original pixel locations to corrected locations.

The following methods are available:

• Nearest (nearest neighbor interpolation)
• Bilinear (bilinear interpolation)
• Cubic (cubic convolution)
• 8 Pt SinX/X
• 16 Pt SinX/X
• Average Filter
• Median Filter
• 4 Pt Lagrange interpolation
• 8 Pt Lagrange interpolation
• Complex SINC (for SAR data)

For more information, read:

Jong-Sen Lee, "Digital Image Enhancement and Noise Filtering by Use of Local Statistics", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. PAM 1-2, No. 2, March, 1980.

J.S. Lee, "Refined Filtering of Image Noise Using Local Statistics" Computer Graphic and Image Processing 15, p. 380 to 389 (1981)

D.T. Kuan, A.A. Sawchuk, T.C. Strand, and P. Chavel, "Adaptive restoration of images with speckle", IEEE Trans. ASSP., Vol. 35, no. 3, pp. 373 to 383, March 1987.

A. Lopes, R. Touzi and E. Nezry, "Adaptive speckle filters and Scene heterogeneity", IEEE Transaction on Geoscience and Remote Sensing, Vol. 28, No. 6, pp. 992 to 1000, Nov. 1990.

V.S. Frost, J.A. Stiles, K.S. Shanmugan, and J.C. Holtzman, "A model for radar images and its application to adaptive digital filtering of multiplicative noise", IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 4, no. 2, pp. 157 to 166, March 1982.

A. Lopes, E. Nezry, R. Touzi, and H. Laur, "Structure detection and statistical adaptive speckle filtering in SAR images", International Journal of Remote Sensing, Vol. 14, No. 9, pp. 1735 to 1758, 1993.

A. Lopes, R. Touzi and E. Nezry, "Adaptive speckle filters and Scene heterogeneity", IEEE Transaction on Geoscience and Remote Sensing, Vol. 28, No. 6, pp. 992 to 1000, Nov. 1990.

Zhenghao Shi and Ko B. Fung, 1994, "A Comparison of Digital Speckle Filters", Proceedings of IGARSS 94, August 8-12, 1994.