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Original Articles

Expansion of LISS III swath using AWiFS wider swath data and contourlet coefficients learning

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Pages 78-93 | Received 04 Jul 2014, Accepted 27 Oct 2014, Published online: 19 Jan 2015

Figures & data

Table 1. Resourcesat-2 AWiFS and LISS III sensors’ characteristics.

Figure 1. Overlapped LISS III at the center portion of full AWiFS scene in simultaneous acquisition.

Figure 1. Overlapped LISS III at the center portion of full AWiFS scene in simultaneous acquisition.

Figure 2. Nonsubsampled contourlet transform. (a) Nonsubsampled filter banks structure that implements the NSCT. (b) Frequency partitioning which is obtained with the filter banks shown in (a). Source: Da Cunha, Zhou, and Do (Citation2006). © IEEE. Reproduced by permission of IEEE.

Figure 2. Nonsubsampled contourlet transform. (a) Nonsubsampled filter banks structure that implements the NSCT. (b) Frequency partitioning which is obtained with the filter banks shown in (a). Source: Da Cunha, Zhou, and Do (Citation2006). © IEEE. Reproduced by permission of IEEE.

Figure 3. Training phase of the overlapping regions of AWiFS and LISS III images over NSCT domain.

Figure 3. Training phase of the overlapping regions of AWiFS and LISS III images over NSCT domain.

Figure 4. Prediction of AWiFS data in the nonoverlapping region at LISS III spatial resolution using the overlapping regions of LISS III and AWiFS as prior knowledge.

Figure 4. Prediction of AWiFS data in the nonoverlapping region at LISS III spatial resolution using the overlapping regions of LISS III and AWiFS as prior knowledge.

Figure 5. Swath-expanded LISS III (in green-red-near-infrared (NIR) false color composition) using SVR and the proposed CCL. (a) LISS III overlapped at the center of full AWiFS scene (input image). (b) Swath-expanded LISS III using SVR Zhang and Huang (Citation2013) method. (c) Swath-expanded LISS III using CCL (proposed method). (d) Original LISS III.

Figure 5. Swath-expanded LISS III (in green-red-near-infrared (NIR) false color composition) using SVR and the proposed CCL. (a) LISS III overlapped at the center of full AWiFS scene (input image). (b) Swath-expanded LISS III using SVR Zhang and Huang (Citation2013) method. (c) Swath-expanded LISS III using CCL (proposed method). (d) Original LISS III.

Table 2. Quantitative comparison between predicted and actual reflectance for the experimental data-set: 1.

Figure 6. Scatter plots between the predicted and actual reflectance values of SVR and the proposed CCL methods (where scale factor is 1000).

Figure 6. Scatter plots between the predicted and actual reflectance values of SVR and the proposed CCL methods (where scale factor is 1000).

Figure 7. Swath-expanded LISS III (in green-red-NIR false color composition) using SVR and the proposed CCL. (a) LISS III overlapped at the center of full AWiFS scene (input image). (b) Swath-expanded LISS III using SVR Zhang and Huang (Citation2013) method. (c) Swath-expanded LISS III using CCL (proposed method). (d) Original LISS III.

Figure 7. Swath-expanded LISS III (in green-red-NIR false color composition) using SVR and the proposed CCL. (a) LISS III overlapped at the center of full AWiFS scene (input image). (b) Swath-expanded LISS III using SVR Zhang and Huang (Citation2013) method. (c) Swath-expanded LISS III using CCL (proposed method). (d) Original LISS III.

Table 3. Quantitative comparison between predicted and actual reflectance for the experimental data-set: 2.

Figure 8. Scatter plots between predicted and actual reflectance values of SVR and the proposed CCL methods (where scale factor is 1000).

Figure 8. Scatter plots between predicted and actual reflectance values of SVR and the proposed CCL methods (where scale factor is 1000).

Figure 9. Relative spectral response (RSR) of Resourcesat-2 AWiFS and LISS III sensors.

Figure 9. Relative spectral response (RSR) of Resourcesat-2 AWiFS and LISS III sensors.

Table 4. Techniques to normalize the differences between AWiFS and LISS III sensor data.

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