PERPUSTAKAAN BIG

1.Large-scale MODIS AOD products recovery: Spatial-temporal hybrid fusion considering aerosol variation mitigation p.1-12
2.Optimizing multiscale segmentation with local spectral heterogeneity measure for high resolution remote sensing images p.13-25
3.Modelling of instrument repositioning errors in discontinuous Multi-Campaign Ground-Based SAR (MC-GBSAR) deformation monitoring p.26-40
4.Ship detection from PolSAR imagery using the ambiguity removal polarimetric notch filter p.41-58
5.Efficiently utilizing complex-valued PolSAR image data via a multi-task deep learning framework p.59-72
6.Photogrammetric assessment of shoreline retreat in North Africa: Anthropogenic and natural drivers p.73-92
7.Blind cloud and cloud shadow removal of multitemporal images based on total variation regularized low-rank sparsity decomposition p.93-107
8.Accurate modelling of canopy traits from seasonal Sentinel-2 imagery based on the vertical distribution of leaf traits p.108-123
9.Deep learning for multi-modal classification of cloud, shadow and land cover scenes in PlanetScope and Sentinel-2 imagery p.124-136
10.Coral reef geomorphology of the Spratly Islands: A simple method based on time-series of Landsat-8 multi-band inundation maps p.137-154
11.Comparison between convolutional neural networks and random forest for local climate zone classification in mega urban areas using Landsat images p.155-170
12.Multi-season RapidEye imagery improves the classification of wetland and dryland communities in a subtropical coastal region p. 171-187
13.A closed-form solution for multi-view color correction with gradient preservation p.188-200
14.Context pyramidal network for stereo matching regularized by disparity gradients p.201-215

M.4142-XII-2019

526.982

Perpustakaan BIG (500)

Tersedia

• Large-scale MODIS AOD products recovery: Spatial-temporal hybrid fusion considering aerosol variation mitigation
• Optimizing multiscale segmentation with local spectral heterogeneity measure for high resolution remote sensing images
• Modelling of instrument repositioning errors in discontinuous Multi-Campaign Ground-Based SAR (MC-GBSAR) deformation monitoring
• Ship detection from PolSAR imagery using the ambiguity removal polarimetric notch filter
• Efficiently utilizing complex-valued PolSAR image data via a multi-task deep learning framework
• Photogrammetric assessment of shoreline retreat in North Africa: Anthropogenic and natural drivers
• Blind cloud and cloud shadow removal of multitemporal images based on total variation regularized low-rank sparsity decomposition
• Accurate modelling of canopy traits from seasonal Sentinel-2 imagery based on the vertical distribution of leaf traits
• Deep learning for multi-modal classification of cloud, shadow and land cover scenes in PlanetScope and Sentinel-2 imagery
• Coral reef geomorphology of the Spratly Islands: A simple method based on time-series of Landsat-8 multi-band inundation maps
• Comparison between convolutional neural networks and random forest for local climate zone classification in mega urban areas using Landsat images
• Multi-season RapidEye imagery improves the classification of wetland and dryland communities in a subtropical coastal region
• A closed-form solution for multi-view color correction with gradient preservation
• Context pyramidal network for stereo matching regularized by disparity gradients

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