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Figure 3. Markers detection result.
Figure 7. Patient E., 26 years old. Patterns of volume migration
Figure 10. Patterns of migration and difference values after the SMAS-lifting

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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-4/W4, 2017 Tehran's Joint ISPRS Conferences of GI Research, SMPR and

As shown in Figure 3, RSS readings in all refrences points and the khown position of these refrences points were prepared for training phase of the proposed the MLFF

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-4/W4, 2017 Tehran's Joint ISPRS Conferences of GI Research, SMPR and

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-4/W4, 2017 Tehran's Joint ISPRS Conferences of GI Research, SMPR and

We applied place recognition algorithm to extract visited points; then, spatiotemporal analysis resulted in visited places feature table as input items to discover spatial

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-4/W4, 2017 Tehran's Joint ISPRS Conferences of GI Research, SMPR and

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-4/W4, 2017 Tehran's Joint ISPRS Conferences of GI Research, SMPR and

A pixel feature vector, which contains the objected scattering mechanism, is not completely represented by span of S n and thus has a non-zero oblique