1

1D CNN

• SEMANTIC URBAN MESH ENHANCEMENT UTILIZING A HYBRID MODEL, pages 175–182

3

3D

• DETERMINATION OF DETAILED MORPHOLOGICAL FEATURES FOR PHENOTYPING OF SUGAR BEET PLANTS USING 3D-STEREOSCOPIC DATA, pages 161–166

3D Modelling

• TREE DROUGHT STRESS DETECTION BASED ON 3D MODELLING, pages 205–210

3D Models

• IMAGE-TO-IMAGE TRANSLATION FOR ENHANCED FEATURE MATCHING, IMAGE RETRIEVAL AND VISUAL LOCALIZATION, pages 111–119

3D Spatial Features

• AUTOMATIC EXTRACTION OF POWER LINES FROM UAV LIDAR POINT CLOUDS USING A NOVEL SPATIAL FEATURE, pages 227–234

3D reconstruction

• MONOCULAR-DEPTH ASSISTED SEMI-GLOBAL MATCHING, pages 55–62

A

Aerial Image Sequences

• RULE-BASED MAPPING OF PARKED VEHICLES USING AERIAL IMAGE SEQUENCES, pages 95–101

Airborne CSAR

• ULTRA-HIGH RESOLUTION IMAGING OF FACADES AND VERTICAL INFRASTRUCTURE BY CARBORNE SAR AND AIRBORNE CSAR, pages 129–136

Amazon Rainforest

• EVALUATION OF DEEP LEARNING TECHNIQUES FOR DEFORESTATION DETECTION IN THE AMAZON FOREST, pages 121–128

adjustment

• DRAW AND ORDER – MODELESS INTERACTIVE ACQUISITION OF OUTLINES, pages 103–110

B

Big Data

• AGGREGATING CLOUD-FREE SENTINEL-2 IMAGES WITH GOOGLE EARTH ENGINE, pages 145–152

bathymetry

• SEMANTIC CHANGE DETECTION OF RIVER GROUND POINTS IN AIRBORNE LIDAR BATHYMETRY DATA USING VOXEL OCCUPANCIES, pages 9–15

building outlines

• DRAW AND ORDER – MODELESS INTERACTIVE ACQUISITION OF OUTLINES, pages 103–110

C

Carborne SAR

• ULTRA-HIGH RESOLUTION IMAGING OF FACADES AND VERTICAL INFRASTRUCTURE BY CARBORNE SAR AND AIRBORNE CSAR, pages 129–136

Classification

• ADVERSARIAL DOMAIN ADAPTATION FOR THE CLASSIFICATION OF AERIAL IMAGES AND HEIGHT DATA USING CONVOLUTIONAL NEURAL NETWORKS, pages 197–204

Cloud Coverage

• AGGREGATING CLOUD-FREE SENTINEL-2 IMAGES WITH GOOGLE EARTH ENGINE, pages 145–152

Coherent Scatterers

• USING COHERENT SCATTERERS IN TIME SERIES OF HIGH RESOLUTION SAR IMAGES FOR THE MONITORING OF CONSTRUCTION ACTIVITY, pages 183–187

Construction

• USING COHERENT SCATTERERS IN TIME SERIES OF HIGH RESOLUTION SAR IMAGES FOR THE MONITORING OF CONSTRUCTION ACTIVITY, pages 183–187

Convolutional Neural Networks

• DATA AUGMENTATION APPROACHES FOR SATELLITE IMAGE SUPER-RESOLUTION, pages 47–54
• IMAGE-TO-IMAGE TRANSLATION FOR ENHANCED FEATURE MATCHING, IMAGE RETRIEVAL AND VISUAL LOCALIZATION, pages 111–119
• EVALUATION OF DEEP LEARNING TECHNIQUES FOR DEFORESTATION DETECTION IN THE AMAZON FOREST, pages 121–128
• DEEP RESIDUAL LEARNING FOR SINGLE-IMAGE SUPER-RESOLUTION OF MULTI-SPECTRAL SATELLITE IMAGERY, pages 189–196
• TREE DROUGHT STRESS DETECTION BASED ON 3D MODELLING, pages 205–210

Crop Recognition

• A MANY-TO-MANY FULLY CONVOLUTIONAL RECURRENT NETWORK FOR MULTITEMPORAL CROP RECOGNITION, pages 25–32

change detection

• SEMANTIC CHANGE DETECTION OF RIVER GROUND POINTS IN AIRBORNE LIDAR BATHYMETRY DATA USING VOXEL OCCUPANCIES, pages 9–15

co-registration

• DIRECT CO-REGISTRATION OF TIR IMAGES AND MLS POINT CLOUDS BY CORRESPONDING KEYPOINTS, pages 235–242

constraints

• DRAW AND ORDER – MODELESS INTERACTIVE ACQUISITION OF OUTLINES, pages 103–110

contour extraction

• CONTOUR EXTRACTION OF PLANAR ELEMENTS OF BUILDING FACADES FROM POINT CLOUDS USING GLOBAL GRAPH-BASED CLUSTERING, pages 211–219

D

Data Augmentation

• DATA AUGMENTATION APPROACHES FOR SATELLITE IMAGE SUPER-RESOLUTION, pages 47–54
• IMAGE-TO-IMAGE TRANSLATION FOR ENHANCED FEATURE MATCHING, IMAGE RETRIEVAL AND VISUAL LOCALIZATION, pages 111–119

Data Fusion

• SEN12MS – A CURATED DATASET OF GEOREFERENCED MULTI-SPECTRAL SENTINEL-1/2 IMAGERY FOR DEEP LEARNING AND DATA FUSION, pages 153–160

Dataset

• SEN12MS – A CURATED DATASET OF GEOREFERENCED MULTI-SPECTRAL SENTINEL-1/2 IMAGERY FOR DEEP LEARNING AND DATA FUSION, pages 153–160

Deep Learning

• DATA AUGMENTATION APPROACHES FOR SATELLITE IMAGE SUPER-RESOLUTION, pages 47–54
• A SEMI-SUPERVISED APPROACH TO SAR-OPTICAL IMAGE MATCHING, pages 71–78
• SEMANTIC SEGMENTATION OF MANMADE LANDSCAPE STRUCTURES IN DIGITAL TERRAIN MODELS, pages 87–94
• SEN12MS – A CURATED DATASET OF GEOREFERENCED MULTI-SPECTRAL SENTINEL-1/2 IMAGERY FOR DEEP LEARNING AND DATA FUSION, pages 153–160
• A COMPARATIVE ANALYSIS OF UNSUPERVISED AND SEMI-SUPERVISED REPRESENTATION LEARNING FOR REMOTE SENSING IMAGE CATEGORIZATION, pages 167–173
• DEEP RESIDUAL LEARNING FOR SINGLE-IMAGE SUPER-RESOLUTION OF MULTI-SPECTRAL SATELLITE IMAGERY, pages 189–196

Deep Matching

• A SEMI-SUPERVISED APPROACH TO SAR-OPTICAL IMAGE MATCHING, pages 71–78

Deep learning

• EVALUATION OF DEEP LEARNING TECHNIQUES FOR DEFORESTATION DETECTION IN THE AMAZON FOREST, pages 121–128

Deforestation

• EVALUATION OF DEEP LEARNING TECHNIQUES FOR DEFORESTATION DETECTION IN THE AMAZON FOREST, pages 121–128

Deformation

• TREE DROUGHT STRESS DETECTION BASED ON 3D MODELLING, pages 205–210

Density Function

• A REPRESENTATION OF MLS DATA AS A BASIS FOR TERRAIN NAVIGABILITY ANALYSIS AND SENSOR DEPLOYMENT PLANNING, pages 39–46

Depth Estimation

• EFFICIENT SURFACE-AWARE SEMI-GLOBAL MATCHING WITH MULTI-VIEW PLANE-SWEEP SAMPLING, pages 137–144

Digital Terrain Models

• SEMANTIC SEGMENTATION OF MANMADE LANDSCAPE STRUCTURES IN DIGITAL TERRAIN MODELS, pages 87–94

Distributed Processing

• A COMPARISON BETWEEN THE HADOOP AND SPARK DISTRIBUTED FRAMEWORKS IN THE CONTEXT OF REGION-GROWING SEGMENTATION OF REMOTE SENSING IMAGES, pages 3–8

Domain Adaptation

• ADVERSARIAL DOMAIN ADAPTATION FOR THE CLASSIFICATION OF AERIAL IMAGES AND HEIGHT DATA USING CONVOLUTIONAL NEURAL NETWORKS, pages 197–204

Drought Detection

• TREE DROUGHT STRESS DETECTION BASED ON 3D MODELLING, pages 205–210

deep learning

• SEMANTIC LABELING AND REFINEMENT OF LIDAR POINT CLOUDS USING DEEP NEURAL NETWORK IN URBAN AREAS, pages 63–70

F

Facade Mapping

• ULTRA-HIGH RESOLUTION IMAGING OF FACADES AND VERTICAL INFRASTRUCTURE BY CARBORNE SAR AND AIRBORNE CSAR, pages 129–136

Factor Analysis

• ANALYSIS OF INFLUENCING FACTORS OF CURVE MATCHING BASED GEOMETRIC CALIBRATION FOR ZY3-02 ALTIMETER DATA, pages 221–226

Feature Matching

• IMAGE-TO-IMAGE TRANSLATION FOR ENHANCED FEATURE MATCHING, IMAGE RETRIEVAL AND VISUAL LOCALIZATION, pages 111–119

Field-free Calibration

• ANALYSIS OF INFLUENCING FACTORS OF CURVE MATCHING BASED GEOMETRIC CALIBRATION FOR ZY3-02 ALTIMETER DATA, pages 221–226

Fisheye Camera Calibration

• MODELLING WIDE-ANGLE LENS CAMERAS FOR METROLOGY AND MAPPING APPLICATIONS, pages 79–86

Fully Convolutional Networks

• A MANY-TO-MANY FULLY CONVOLUTIONAL RECURRENT NETWORK FOR MULTITEMPORAL CROP RECOGNITION, pages 25–32
• ADVERSARIAL DOMAIN ADAPTATION FOR THE CLASSIFICATION OF AERIAL IMAGES AND HEIGHT DATA USING CONVOLUTIONAL NEURAL NETWORKS, pages 197–204

Fuzzy Logic

• RULE-BASED MAPPING OF PARKED VEHICLES USING AERIAL IMAGE SEQUENCES, pages 95–101

feature learning

• USING NEURAL NETWORKS TO DETECT OBJECTS IN MLS POINT CLOUDS BASED ON LOCAL POINT NEIGHBORHOODS, pages 17–24

G

Generative Adversarial Networks

• IMAGE-TO-IMAGE TRANSLATION FOR ENHANCED FEATURE MATCHING, IMAGE RETRIEVAL AND VISUAL LOCALIZATION, pages 111–119
• A COMPARATIVE ANALYSIS OF UNSUPERVISED AND SEMI-SUPERVISED REPRESENTATION LEARNING FOR REMOTE SENSING IMAGE CATEGORIZATION, pages 167–173

Geometric Calibration

• ANALYSIS OF INFLUENCING FACTORS OF CURVE MATCHING BASED GEOMETRIC CALIBRATION FOR ZY3-02 ALTIMETER DATA, pages 221–226

GoPro

• MODELLING WIDE-ANGLE LENS CAMERAS FOR METROLOGY AND MAPPING APPLICATIONS, pages 79–86

Google Earth Engine

• AGGREGATING CLOUD-FREE SENTINEL-2 IMAGES WITH GOOGLE EARTH ENGINE, pages 145–152

geometric reasoning

• DRAW AND ORDER – MODELESS INTERACTIVE ACQUISITION OF OUTLINES, pages 103–110

global graph clustering

• CONTOUR EXTRACTION OF PLANAR ELEMENTS OF BUILDING FACADES FROM POINT CLOUDS USING GLOBAL GRAPH-BASED CLUSTERING, pages 211–219

H

Hadoop

• A COMPARISON BETWEEN THE HADOOP AND SPARK DISTRIBUTED FRAMEWORKS IN THE CONTEXT OF REGION-GROWING SEGMENTATION OF REMOTE SENSING IMAGES, pages 3–8

Heatmap

• A REPRESENTATION OF MLS DATA AS A BASIS FOR TERRAIN NAVIGABILITY ANALYSIS AND SENSOR DEPLOYMENT PLANNING, pages 39–46

High-speed camera

• DEVELOPMENT OF A HIGH-SPEED VIDEOGRAMMETRIC MEASUREMENT SYSTEM WITH APPLICATION IN LARGE-SCALE SHAKING TABLE TEST, pages 33–38

I

Image Matching

• A SEMI-SUPERVISED APPROACH TO SAR-OPTICAL IMAGE MATCHING, pages 71–78

Image Retrieval

• IMAGE-TO-IMAGE TRANSLATION FOR ENHANCED FEATURE MATCHING, IMAGE RETRIEVAL AND VISUAL LOCALIZATION, pages 111–119

Image Segmentation

• A COMPARISON BETWEEN THE HADOOP AND SPARK DISTRIBUTED FRAMEWORKS IN THE CONTEXT OF REGION-GROWING SEGMENTATION OF REMOTE SENSING IMAGES, pages 3–8

Image Stacking

• EVALUATION OF DEEP LEARNING TECHNIQUES FOR DEFORESTATION DETECTION IN THE AMAZON FOREST, pages 121–128

Image sequence processing

• DEVELOPMENT OF A HIGH-SPEED VIDEOGRAMMETRIC MEASUREMENT SYSTEM WITH APPLICATION IN LARGE-SCALE SHAKING TABLE TEST, pages 33–38

Image-to-Image Translation

• IMAGE-TO-IMAGE TRANSLATION FOR ENHANCED FEATURE MATCHING, IMAGE RETRIEVAL AND VISUAL LOCALIZATION, pages 111–119

image matching

• MONOCULAR-DEPTH ASSISTED SEMI-GLOBAL MATCHING, pages 55–62

interaction

• DRAW AND ORDER – MODELESS INTERACTIVE ACQUISITION OF OUTLINES, pages 103–110

L

Ladybug Camera

• MODELLING WIDE-ANGLE LENS CAMERAS FOR METROLOGY AND MAPPING APPLICATIONS, pages 79–86

Landsat-8

• DATA AUGMENTATION APPROACHES FOR SATELLITE IMAGE SUPER-RESOLUTION, pages 47–54

Laser Scanning

• SEMANTIC SEGMENTATION OF MANMADE LANDSCAPE STRUCTURES IN DIGITAL TERRAIN MODELS, pages 87–94

Leaf model

• DETERMINATION OF DETAILED MORPHOLOGICAL FEATURES FOR PHENOTYPING OF SUGAR BEET PLANTS USING 3D-STEREOSCOPIC DATA, pages 161–166

LiDAR

• SEMANTIC CHANGE DETECTION OF RIVER GROUND POINTS IN AIRBORNE LIDAR BATHYMETRY DATA USING VOXEL OCCUPANCIES, pages 9–15
• USING NEURAL NETWORKS TO DETECT OBJECTS IN MLS POINT CLOUDS BASED ON LOCAL POINT NEIGHBORHOODS, pages 17–24

Linear Elements

• AUTOMATIC EXTRACTION OF POWER LINES FROM UAV LIDAR POINT CLOUDS USING A NOVEL SPATIAL FEATURE, pages 227–234

M

MLS

• SEMANTIC LABELING AND REFINEMENT OF LIDAR POINT CLOUDS USING DEEP NEURAL NETWORK IN URBAN AREAS, pages 63–70
• DIRECT CO-REGISTRATION OF TIR IMAGES AND MLS POINT CLOUDS BY CORRESPONDING KEYPOINTS, pages 235–242

Machine Learning

• SEN12MS – A CURATED DATASET OF GEOREFERENCED MULTI-SPECTRAL SENTINEL-1/2 IMAGERY FOR DEEP LEARNING AND DATA FUSION, pages 153–160

Mapreduce

• A COMPARISON BETWEEN THE HADOOP AND SPARK DISTRIBUTED FRAMEWORKS IN THE CONTEXT OF REGION-GROWING SEGMENTATION OF REMOTE SENSING IMAGES, pages 3–8

Mesh Features

• SEMANTIC URBAN MESH ENHANCEMENT UTILIZING A HYBRID MODEL, pages 175–182

Mobile Laser Scanning

• A REPRESENTATION OF MLS DATA AS A BASIS FOR TERRAIN NAVIGABILITY ANALYSIS AND SENSOR DEPLOYMENT PLANNING, pages 39–46

Mobile Radar Mapping

• ULTRA-HIGH RESOLUTION IMAGING OF FACADES AND VERTICAL INFRASTRUCTURE BY CARBORNE SAR AND AIRBORNE CSAR, pages 129–136

Multi-Spectral Imagery

• SEN12MS – A CURATED DATASET OF GEOREFERENCED MULTI-SPECTRAL SENTINEL-1/2 IMAGERY FOR DEEP LEARNING AND DATA FUSION, pages 153–160

Multi-View

• EFFICIENT SURFACE-AWARE SEMI-GLOBAL MATCHING WITH MULTI-VIEW PLANE-SWEEP SAMPLING, pages 137–144

mobile laser scanning

• USING NEURAL NETWORKS TO DETECT OBJECTS IN MLS POINT CLOUDS BASED ON LOCAL POINT NEIGHBORHOODS, pages 17–24

mono-depth

• MONOCULAR-DEPTH ASSISTED SEMI-GLOBAL MATCHING, pages 55–62

N

Normal Map Estimation

• EFFICIENT SURFACE-AWARE SEMI-GLOBAL MATCHING WITH MULTI-VIEW PLANE-SWEEP SAMPLING, pages 137–144

neural networks

• USING NEURAL NETWORKS TO DETECT OBJECTS IN MLS POINT CLOUDS BASED ON LOCAL POINT NEIGHBORHOODS, pages 17–24

O

Object Detection

• SEMANTIC SEGMENTATION OF MANMADE LANDSCAPE STRUCTURES IN DIGITAL TERRAIN MODELS, pages 87–94

Oblique Aerial Imagery

• EFFICIENT SURFACE-AWARE SEMI-GLOBAL MATCHING WITH MULTI-VIEW PLANE-SWEEP SAMPLING, pages 137–144

Occupancy Grid

• A REPRESENTATION OF MLS DATA AS A BASIS FOR TERRAIN NAVIGABILITY ANALYSIS AND SENSOR DEPLOYMENT PLANNING, pages 39–46

Online Processing

• EFFICIENT SURFACE-AWARE SEMI-GLOBAL MATCHING WITH MULTI-VIEW PLANE-SWEEP SAMPLING, pages 137–144

Optical Remote Sensing

• A SEMI-SUPERVISED APPROACH TO SAR-OPTICAL IMAGE MATCHING, pages 71–78
• SEN12MS – A CURATED DATASET OF GEOREFERENCED MULTI-SPECTRAL SENTINEL-1/2 IMAGERY FOR DEEP LEARNING AND DATA FUSION, pages 153–160

object detection

• USING NEURAL NETWORKS TO DETECT OBJECTS IN MLS POINT CLOUDS BASED ON LOCAL POINT NEIGHBORHOODS, pages 17–24

optimization

• SEMANTIC LABELING AND REFINEMENT OF LIDAR POINT CLOUDS USING DEEP NEURAL NETWORK IN URBAN AREAS, pages 63–70

P

Parking Space Mapping

• RULE-BASED MAPPING OF PARKED VEHICLES USING AERIAL IMAGE SEQUENCES, pages 95–101

Phenotyping

• DETERMINATION OF DETAILED MORPHOLOGICAL FEATURES FOR PHENOTYPING OF SUGAR BEET PLANTS USING 3D-STEREOSCOPIC DATA, pages 161–166

Plane-Sweep Stereo

• EFFICIENT SURFACE-AWARE SEMI-GLOBAL MATCHING WITH MULTI-VIEW PLANE-SWEEP SAMPLING, pages 137–144

Plant modelling

• DETERMINATION OF DETAILED MORPHOLOGICAL FEATURES FOR PHENOTYPING OF SUGAR BEET PLANTS USING 3D-STEREOSCOPIC DATA, pages 161–166

Plant morphology

• DETERMINATION OF DETAILED MORPHOLOGICAL FEATURES FOR PHENOTYPING OF SUGAR BEET PLANTS USING 3D-STEREOSCOPIC DATA, pages 161–166

Point clouds

• SEMANTIC CHANGE DETECTION OF RIVER GROUND POINTS IN AIRBORNE LIDAR BATHYMETRY DATA USING VOXEL OCCUPANCIES, pages 9–15

Power Line Extraction

• AUTOMATIC EXTRACTION OF POWER LINES FROM UAV LIDAR POINT CLOUDS USING A NOVEL SPATIAL FEATURE, pages 227–234

Precision Farming

• DETERMINATION OF DETAILED MORPHOLOGICAL FEATURES FOR PHENOTYPING OF SUGAR BEET PLANTS USING 3D-STEREOSCOPIC DATA, pages 161–166

pedestrians

• USING NEURAL NETWORKS TO DETECT OBJECTS IN MLS POINT CLOUDS BASED ON LOCAL POINT NEIGHBORHOODS, pages 17–24

planar building elements

• CONTOUR EXTRACTION OF PLANAR ELEMENTS OF BUILDING FACADES FROM POINT CLOUDS USING GLOBAL GRAPH-BASED CLUSTERING, pages 211–219

point cloud

• DIRECT CO-REGISTRATION OF TIR IMAGES AND MLS POINT CLOUDS BY CORRESPONDING KEYPOINTS, pages 235–242

point clouds

• SEMANTIC LABELING AND REFINEMENT OF LIDAR POINT CLOUDS USING DEEP NEURAL NETWORK IN URBAN AREAS, pages 63–70
• CONTOUR EXTRACTION OF PLANAR ELEMENTS OF BUILDING FACADES FROM POINT CLOUDS USING GLOBAL GRAPH-BASED CLUSTERING, pages 211–219

point-based

• DIRECT CO-REGISTRATION OF TIR IMAGES AND MLS POINT CLOUDS BY CORRESPONDING KEYPOINTS, pages 235–242

pose estimation

• DIRECT CO-REGISTRATION OF TIR IMAGES AND MLS POINT CLOUDS BY CORRESPONDING KEYPOINTS, pages 235–242

R

Recurrent Networks

• A MANY-TO-MANY FULLY CONVOLUTIONAL RECURRENT NETWORK FOR MULTITEMPORAL CROP RECOGNITION, pages 25–32

Remote Sensing

• A COMPARISON BETWEEN THE HADOOP AND SPARK DISTRIBUTED FRAMEWORKS IN THE CONTEXT OF REGION-GROWING SEGMENTATION OF REMOTE SENSING IMAGES, pages 3–8
• SEN12MS – A CURATED DATASET OF GEOREFERENCED MULTI-SPECTRAL SENTINEL-1/2 IMAGERY FOR DEEP LEARNING AND DATA FUSION, pages 153–160
• DEEP RESIDUAL LEARNING FOR SINGLE-IMAGE SUPER-RESOLUTION OF MULTI-SPECTRAL SATELLITE IMAGERY, pages 189–196

Remote sensing

• DETERMINATION OF DETAILED MORPHOLOGICAL FEATURES FOR PHENOTYPING OF SUGAR BEET PLANTS USING 3D-STEREOSCOPIC DATA, pages 161–166

Representation Learning

• A COMPARATIVE ANALYSIS OF UNSUPERVISED AND SEMI-SUPERVISED REPRESENTATION LEARNING FOR REMOTE SENSING IMAGE CATEGORIZATION, pages 167–173

Residual Learning

• DEEP RESIDUAL LEARNING FOR SINGLE-IMAGE SUPER-RESOLUTION OF MULTI-SPECTRAL SATELLITE IMAGERY, pages 189–196

S

SAR

• USING COHERENT SCATTERERS IN TIME SERIES OF HIGH RESOLUTION SAR IMAGES FOR THE MONITORING OF CONSTRUCTION ACTIVITY, pages 183–187

SGM

• MONOCULAR-DEPTH ASSISTED SEMI-GLOBAL MATCHING, pages 55–62

Satellite Laser Altimeter

• ANALYSIS OF INFLUENCING FACTORS OF CURVE MATCHING BASED GEOMETRIC CALIBRATION FOR ZY3-02 ALTIMETER DATA, pages 221–226

Segmentation

• ADVERSARIAL DOMAIN ADAPTATION FOR THE CLASSIFICATION OF AERIAL IMAGES AND HEIGHT DATA USING CONVOLUTIONAL NEURAL NETWORKS, pages 197–204

Semantic Segmentation

• SEMANTIC SEGMENTATION OF MANMADE LANDSCAPE STRUCTURES IN DIGITAL TERRAIN MODELS, pages 87–94
• SEMANTIC URBAN MESH ENHANCEMENT UTILIZING A HYBRID MODEL, pages 175–182

Semi-Global Matching

• TREE DROUGHT STRESS DETECTION BASED ON 3D MODELLING, pages 205–210

Semi-Global-Matching

• EFFICIENT SURFACE-AWARE SEMI-GLOBAL MATCHING WITH MULTI-VIEW PLANE-SWEEP SAMPLING, pages 137–144

Semi-supervised Learning

• A SEMI-SUPERVISED APPROACH TO SAR-OPTICAL IMAGE MATCHING, pages 71–78
• A COMPARATIVE ANALYSIS OF UNSUPERVISED AND SEMI-SUPERVISED REPRESENTATION LEARNING FOR REMOTE SENSING IMAGE CATEGORIZATION, pages 167–173

Sentinel-1

• SEN12MS – A CURATED DATASET OF GEOREFERENCED MULTI-SPECTRAL SENTINEL-1/2 IMAGERY FOR DEEP LEARNING AND DATA FUSION, pages 153–160

Sentinel-2

• AGGREGATING CLOUD-FREE SENTINEL-2 IMAGES WITH GOOGLE EARTH ENGINE, pages 145–152
• SEN12MS – A CURATED DATASET OF GEOREFERENCED MULTI-SPECTRAL SENTINEL-1/2 IMAGERY FOR DEEP LEARNING AND DATA FUSION, pages 153–160
• DEEP RESIDUAL LEARNING FOR SINGLE-IMAGE SUPER-RESOLUTION OF MULTI-SPECTRAL SATELLITE IMAGERY, pages 189–196

Shaking table test

• DEVELOPMENT OF A HIGH-SPEED VIDEOGRAMMETRIC MEASUREMENT SYSTEM WITH APPLICATION IN LARGE-SCALE SHAKING TABLE TEST, pages 33–38

Single-Image Super-Resolution

• DEEP RESIDUAL LEARNING FOR SINGLE-IMAGE SUPER-RESOLUTION OF MULTI-SPECTRAL SATELLITE IMAGERY, pages 189–196

Spark

• A COMPARISON BETWEEN THE HADOOP AND SPARK DISTRIBUTED FRAMEWORKS IN THE CONTEXT OF REGION-GROWING SEGMENTATION OF REMOTE SENSING IMAGES, pages 3–8

Spatial Analysis

• A REPRESENTATION OF MLS DATA AS A BASIS FOR TERRAIN NAVIGABILITY ANALYSIS AND SENSOR DEPLOYMENT PLANNING, pages 39–46

Sugar beet

• DETERMINATION OF DETAILED MORPHOLOGICAL FEATURES FOR PHENOTYPING OF SUGAR BEET PLANTS USING 3D-STEREOSCOPIC DATA, pages 161–166

Super Resolution

• DATA AUGMENTATION APPROACHES FOR SATELLITE IMAGE SUPER-RESOLUTION, pages 47–54

Synthetic Aperture Radar (SAR)

• A SEMI-SUPERVISED APPROACH TO SAR-OPTICAL IMAGE MATCHING, pages 71–78
• SEN12MS – A CURATED DATASET OF GEOREFERENCED MULTI-SPECTRAL SENTINEL-1/2 IMAGERY FOR DEEP LEARNING AND DATA FUSION, pages 153–160

segmentation

• DIRECT CO-REGISTRATION OF TIR IMAGES AND MLS POINT CLOUDS BY CORRESPONDING KEYPOINTS, pages 235–242

semantic labeling

• SEMANTIC LABELING AND REFINEMENT OF LIDAR POINT CLOUDS USING DEEP NEURAL NETWORK IN URBAN AREAS, pages 63–70

single-image depth estimation

• MONOCULAR-DEPTH ASSISTED SEMI-GLOBAL MATCHING, pages 55–62

T

TIR images

• DIRECT CO-REGISTRATION OF TIR IMAGES AND MLS POINT CLOUDS BY CORRESPONDING KEYPOINTS, pages 235–242

Time Series

• USING COHERENT SCATTERERS IN TIME SERIES OF HIGH RESOLUTION SAR IMAGES FOR THE MONITORING OF CONSTRUCTION ACTIVITY, pages 183–187

Tree

• TREE DROUGHT STRESS DETECTION BASED ON 3D MODELLING, pages 205–210

U

UAV LiDAR

• AUTOMATIC EXTRACTION OF POWER LINES FROM UAV LIDAR POINT CLOUDS USING A NOVEL SPATIAL FEATURE, pages 227–234

Ultra-high Resolution SAR

• ULTRA-HIGH RESOLUTION IMAGING OF FACADES AND VERTICAL INFRASTRUCTURE BY CARBORNE SAR AND AIRBORNE CSAR, pages 129–136

Urban Areas

• USING COHERENT SCATTERERS IN TIME SERIES OF HIGH RESOLUTION SAR IMAGES FOR THE MONITORING OF CONSTRUCTION ACTIVITY, pages 183–187

Urban Scene Understanding

• SEMANTIC URBAN MESH ENHANCEMENT UTILIZING A HYBRID MODEL, pages 175–182

V

Vehicle Detection

• RULE-BASED MAPPING OF PARKED VEHICLES USING AERIAL IMAGE SEQUENCES, pages 95–101

Vehicle Tracking

• RULE-BASED MAPPING OF PARKED VEHICLES USING AERIAL IMAGE SEQUENCES, pages 95–101

Vertical Infrastructure Mapping

• ULTRA-HIGH RESOLUTION IMAGING OF FACADES AND VERTICAL INFRASTRUCTURE BY CARBORNE SAR AND AIRBORNE CSAR, pages 129–136

Videogrammetric system

• DEVELOPMENT OF A HIGH-SPEED VIDEOGRAMMETRIC MEASUREMENT SYSTEM WITH APPLICATION IN LARGE-SCALE SHAKING TABLE TEST, pages 33–38

Visual Localization

• IMAGE-TO-IMAGE TRANSLATION FOR ENHANCED FEATURE MATCHING, IMAGE RETRIEVAL AND VISUAL LOCALIZATION, pages 111–119