PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science

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Combination of Persistent Scatterer Interferometry and Single-Baseline Polarimetric Coherence Optimisation to Estimate Deformation Rates with Application to Tehran Basin
PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science - Tập 85 - Trang 327-340 - 2017
Zahra Sadeghi, Mohammad Javad Valadan Zoej, Jan-Peter Muller
This study reports on the monitoring of land subsidence in a rural area located in the southwest of the Tehran basin, Iran, by combining a persistent scatterer interferometry (PSI) method with a single-baseline polarimetric coherence optimisation. Owing to vegetation coverage in this rural area, coherence level experiences a decline and the performance and coverage of conventional interferometry t...... hiện toàn bộ
A Hybrid Deep ResNet and Inception Model for Hyperspectral Image Classification
PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science - Tập 88 - Trang 463-476 - 2020
Bandar Alotaibi, Munif Alotaibi
Over the past few decades, hyperspectral image (HSI) classification has garnered increasing attention from the remote sensing research community. The largest challenge faced by HSI classification is the high feature dimensions represented by the different HSI bands given the limited number of labeled samples. Deep learning and convolutional neural networks (CNNs), in particular, have been shown to...... hiện toàn bộ
Reports
PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science - Tập 92 Số 1 - Trang 93-99 - 2024
Road Surface Reconstruction by Stereo Vision
PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science - Tập 88 - Trang 433-448 - 2020
Hauke Brunken, Clemens Gühmann
This paper covers the problem of road surface reconstruction by stereo vision with cameras placed behind the windshield of a moving vehicle. An algorithm was developed that employs a plane-sweep approach and uses semi-global matching for optimization. Different similarity measures were evaluated for the task of matching pixels, namely mutual information, background subtraction by bilateral filteri...... hiện toàn bộ
Report
PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science - Tập 91 - Trang 485-494 - 2023
Evaluation of Direct RTK-georeferenced UAV Images for Crop and Pasture Monitoring Using Polygon Grids
PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science - Tập 91 - Trang 471-483 - 2023
Georg Bareth, Christoph Hütt
Remote sensing approaches using Unmanned Aerial Vehicles (UAVs) have become an established method to monitor agricultural systems. They enable data acquisition with multi- or hyperspectral, RGB, or LiDAR sensors. For non-destructive estimation of crop or sward traits, photogrammetric analysis using Structure from Motion and Multiview Stereopsis (SfM/MVS) has opened a new research field. SfM/MVS an...... hiện toàn bộ
Pixel-Based Classification of Hyperspectral Images Using Convolutional Neural Networks
PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science - Tập 87 - Trang 33-45 - 2019
Syed Aamer Hussain, Ali Tahir, Junaid Aziz Khan, Ahmad Salman
The recent progress in geographical information systems, remote sensing (RS) and data analytics enables us to acquire and process large amount of Earth observation data. Convolutional neural networks (CNN) are being used frequently in classification of multi-dimensional images with high accuracy. In this paper, we test CNNs for the classification of hyperspectral RS data. Our proposed CNN is a mu...... hiện toàn bộ
Optimizing the Achievable Information Content Extraction from WorldView-4 Stereo Imagery
PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science - - 2020
Umut Güneş Sefercik, Mehmet Alkan, Can Atalay, Karsten Jacobsen, Gürcan Büyüksali̇h, Serkan Karakış
DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation
PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science - - 2024
Steven Landgraf, Kira Wursthorn, Markus Hillemann, Markus Ulrich
The intersection of deep learning and photogrammetry unveils a critical need for balancing the power of deep neural networks with interpretability and trustworthiness, especially for safety-critical application like autonomous driving, medical imaging, or machine vision tasks with high demands on reliability. Quantifying the predictive uncertainty is a promising endeavour to open up the use of dee...... hiện toàn bộ
Special Issue “Methods and Applications of Virtual and Augmented Reality in Geo-Information Sciences”
PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science - Tập 88 - Trang 119-120 - 2020
Thomas P. Kersten, Dennis Edler
Tổng số: 176   
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