1. Transferring deep learning models for cloud detection between Landsat-8 and Proba-Vp. 1-17 2. Estimating winter wheat yield based on a light use efficiency model and wheat variety datap. 18-32 3. TanDEM-X DEM: Comparative performance review employing LIDAR data and DSMsp. 33-50 4. A two-step approach for the correction of rolling shutter distortion in UAV photogrammetryp. 51-66 5. Orient…
1. Wide-area invasive species propagation mapping is possible using phenometric trends p. 1-12 2. Automatic scale estimation of structure from motion based 3D models using laser scalers in underwater scenarios p. 13-25 3. Comparison of multi-seasonal Landsat 8, Sentinel-2 and hyperspectral images for mapping forest alliances in Northern California p 26-40 4. Investigating the resolution capa…
1. Voronoi classified and clustered data constellation: A new 3D data structure for geomarketing strategies p. 1-16 2. Recent ENSO influence on East African drought during rainy seasons through the synergistic use of satellite and reanalysis data p. 17-26 3. Detection of Xylella fastidiosa infection symptoms with airborne multispectral and thermal imagery: Assessing bandset reduction performa…
1. Complete and accurate data correction for seamless mosaicking of airborne hyperspectral images: A case study at a mining site in Inner Mongolia, China p. 1-15 2. A simple and effective method for removing residual reflected skylight in above-water remote sensing reflectance measurements p. 16-27 3. Mapping the condition of macadamia tree crops using multi-spectral UAV and WorldView-3 image…
1. Self-supervised monocular depth estimation from oblique UAV videos p. 1-14 2. Classifying rock slope materials in photogrammetric point clouds using robust color and geometric features p. 15-29 3. Radiative transfer modeling to measure fire impact and forest engineering resilience at short-term p. 30-41 4. Learning deep cross-scale feature propagation for indoor semantic segmentation …
1. Center pivot field delineation and mapping: A satellite-driven object-based image analysis approach for national scale accounting p. 1-19 2. Learning deep semantic segmentation network under multiple weakly-supervised constraints for cross-domain remote sensing image semantic segmentation p. 20-33 3. Refinement of interferometric SAR parameters using digital terrain model as an external …
1. A CNN approach to simultaneously count plants and detect plantation-rows from UAV imagery p. 1-17 2. Automated street tree inventory using mobile LiDAR point clouds based on Hough transform and active contours p. 19-34 3. A hybrid global structure from motion method for synchronously estimating global rotations and global translations p. 35-55 4. Using a fully polarimetric SAR to detec…
Mobile laser scanning is a techniques to obtain geo-information for large areas using laser scanners mounted on a car or another vehicle. The obtained product is called a mobile laser scanning point cloud. Under normal conditions, accurate positioning is provided by the integration of Global Navigation Satellite Systems (GNSS) and inertial Navigation Systems (INS). However, especially in urban…
Penelitian ini difokuskan untuk memantau indikasi bangunan liar pada evaluasi pelaksanaan RDTR. Klasifikasi otomasi dengan memanfaatkan teknologi deep learning dilakukan pada foto orthomosaic beresolusi 15 cm yang merupakan hasil pengolahan dari akusisi menggunakan wahana UAV. HAsil klarifikasi tersebut dilakukan overlay dengan data rencana pola ruang pada zonasi non-bangunan untuk mendeteksi i…