Recognition and Perception of Images

9 Chapter 9Figure 9.1 Multidimensional ESF of multispectral image.Figure 9.2 Probability spread function of multispectral image.Figure 9.3 Probability density distribution of a multispectral image.Figure 9.4 The equivalent spatial resolution determining by equivalent PSF of th...Figure 9.5 Determining the spectral reflectance value of x band using the identi...Figure 9.6 Multispectral imagery resolution enhancement dataflow diagram.Figure 9.7 ASTER multispectral satellite image (Odessa, Ukraine, 24.09.2007, 9 s...Figure 9.8 The results of the satellite imagery band downsampling by a factor of...Figure 9.9 Schematic representation of the analyzed subpixels on pixel grids of ...Figure 9.10 Basic types of subpixels relative location.Figure 9.11 The series-parallel system examples.Figure 9.12 Selection of subpixel reallocating rule.Figure 9.13 Sentinel 2 MSI fragment with false color combination of band 5 (705 ...Figure 9.14 Thermal infrared atmospheric windows (3-5 μm – mid-wave infrared ran...Figure 9.15 Raw satellite images of central part of Kyiv city (Ukraine): 10 m Se...Figure 9.16 NDVI-emissivity relationship approximation [Zaitseva et al ., 2019].Figure 9.17 Visual comparison between the resolution of raw longwave-infrared da...Figure 9.18 Spatial resolution enhancement flowchart.Figure 9.19 LST image in the spatial domain (a) and its Fourier amplitude spectr...Figure 9.20 Extraction of low- and high-frequency components of LST data.Figure 9.21 General flowchart of frequency component merging for LST spatial res...Figure 9.22 The visual difference between low-resolution LST images (a), and enh...

10 Chapter 10Figure 10.1 Examples of images acquired by means of aerospace methods. Sources: ...Figure 10.2 Example of image obtained by means of push broom method before and a...Figure 10.3 Image before and after orthotransformation.Figure 10.4 Example of incorrectly exposed image. Source image – on the left, an...Figure 10.5 Example of the specific distortions in case of channels misalignment...Figure 10.6 Distortion peculiar to the moving object. Synthesized image.Figure 10.7 Specific bar diagram of image obtained by means of aerospace methods...Figure 10.8 Example of aerospace imagery of MKAD multilevel junction – Leningrad...Figure 10.9 Example of complex structure buildings. Khodynka Field, Moscow.Figure 10.10 Histogram of image before (from the left) and after (from the right...Figure 10.11 Example of fragments placing by means of simple algorithm (checker ...Figure 10.12 Example of fragments placing with the use of offered algorithm.Figure 10.13 Functional diagram of generation of training and validation dataset...Figure 10.14 Functional diagram of significance map generation subprocedure.Figure 10.15 Process of extraction and augmentation of the separate sample from ...Figure 10.16 Reference designations used by the authors on ANN topology diagrams...Figure 10.17 Basic ANN topology offered by the authors: generalization of U-Net,...Figure 10.18 Inception-G base block, i.e., modification of base block of Incepti...Figure 10.19 Functional diagram of Squeeze-and-Excitation adding to any base blo...Figure 10.20 Functional diagram of topology built according to the stacked hourg...Figure 10.21 Functional diagram of supplemented encoder context method.Figure 10.22 Examples of geometric structures (above) and “energy” fields for th...Figure 10.23 Dynamics of training process carried out according to forking learn...

1 Chapter 3Table 3.1 Character images of of Beijing Opera characters makeup.Table 3.2 Structure of formation of the artistic image in the synthetic art form...

2 Chapter 5Table 5.1 Average confusion matrix obtained from proposed method on the CK+ data...Table 5.2 Average confusion matrix obtained from proposed method on the MMI data...Table 5.3 Recognition accuracy comparison on the CK+ database [26] in terms of s...Table 5.4 Average confusion matrix obtained from proposed method on the SFEW val...Table 5.5 Classification accuracy comparisons.Table 5.6 Comparisons of the rank-1 accuracy and TPR@FPR=0.1% on three makeup da...Table 5.7 Summary of the 40 face attributes provided with the CelebA and LFWA da...Table 5.8 Face recognition accuracy on CelebA dataset.Table 5.9 Face attribute recognition accuracy on CelebA and LFWA dataset. Two da...Table 5.10 Face recognition on DFW dataset.

3 Chapter 9Table 9.1 The spatial resolution of multispectral imaging systems.

4 Chapter 10Table 10.1 Typical values of channel bit depth. Usage examples.Table 10.2 Characteristics of images formed by Landsat, GeoEye, WorldView-3/4 sa...Table 10.3 Estimated volumes of datasets used in the course of optimal/standard ...Table 10.4 Estimated volumes of datasets for some big cities of the world for La...Table 10.5 The estimated costs for datasets concerning some large cities of the ...

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