Results 11 to 20 of about 413,172 (344)

Disordered Multi-view Registration Method Based on the Soft Trimmed Deep Network [PDF]

open access: yesJournal of Geodesy and Geoinformation Science, 2023
Compared with the pair-wise registration of point clouds, multi-view point cloud registration is much less studied. In this dissertation, a disordered multi-view point cloud registration method based on the soft trimmed deep network is proposed.
Rui GUO, Yuanlong SONG, Zhengyao WANG
doaj   +1 more source

Accurate Segmentation Method of Aerial Photography Buildings Based on Deep Convolutional Residual Network [PDF]

open access: yesJisuanji kexue, 2021
In order to solve the problems of high cost of obtaining the top plan view of the main outline of the building in the 3D modeling scenario,low segmentation accuracy of the aerial photography building,interference on the roof of the building,etc.,a method
XU Hua-jie, ZHANG Chen-qiang, SU Guo-shao
doaj   +1 more source

“Design and building of a high speed Schmidt-Cassegrain objective for space qualified remote sensing camera”

open access: yesEgyptian Journal of Remote Sensing and Space Sciences, 2022
Remote sensing satellites require very accurate pointing to specific locations of interest with high resolution and small latency. Therefore, the space imaging systems attempted to achieve the possible highest ground resolution with minimum cost as ...
A.A. Shahin
doaj   +1 more source

MS-YOLOv7:YOLOv7 Based on Multi-Scale for Object Detection on UAV Aerial Photography

open access: yesDrones, 2023
A multi-scale UAV aerial image object detection model MS-YOLOv7 based on YOLOv7 was proposed to address the issues of a large number of objects and a high proportion of small objects that commonly exist in the Unmanned Aerial Vehicle (UAV) aerial image ...
Liangliang Zhao, Minling Zhu
semanticscholar   +1 more source

Trends in development of agricultural aerial photography technology

open access: yesСельскохозяйственные машины и технологии, 2023
Aerial photography is becoming an integral part of remote sensing in digital agriculture. The first aerial photographs were taken in the mid-19th century.
Yu. S. Tsench, N. I. Zakharova
doaj   +1 more source

Small Target Detection Algorithm for UAV Aerial Photography Based on Improved YOLOv5s

open access: yesElectronics, 2023
At present, UAV aerial photography has a good prospect in agricultural production, disaster response, and other aspects. The application of UAVs can greatly improve work efficiency and decision-making accuracy. However, owing to inherent features such as
Jingcheng Shang   +4 more
semanticscholar   +1 more source

Transmission Line Segmentation Solutions for UAV Aerial Photography Based on Improved UNet

open access: yesDrones, 2023
The accurate and efficient detection of power lines and towers in aerial drone images with complex backgrounds is crucial for the safety of power grid operations and low-altitude drone flights.
Min He   +5 more
semanticscholar   +1 more source

Urban Feature Extraction from Merged Airborne LiDAR Data and Digital Camera Data

open access: yesGeoplanning: Journal of Geomatics and Planning, 2020
Until recently, the most highly accurate digital surface models were obtained from airborne lidar. With the development of a new generation of large format digital photogrammetric aerial camera, a fully digital photogrammetric workflow became possible ...
Lamyaa Gamal EL-Deen Taha   +3 more
doaj   +1 more source

STUDY ON PRACTICAL TECHNOLOGIES OF AERIAL TRIANGULATION FOR REAL SCENE 3D MOELING WITH OBLIQUE PHOTOGRAPHY [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
The key technologies in the real scene 3D modeling of oblique photography mainly include the data acquisition of oblique photography, layout and surveying of photo control points, oblique camera calibration, aerial triangulation, dense matching of multi ...
Z. Cai, W. Liu, G. Luo, Z. Xiang
doaj   +1 more source

Counting sea lions and elephants from aerial photography using deep learning with density maps

open access: yesAnimal Biotelemetry, 2021
The ability to automatically count animals is important to design appropriate environmental policies and to monitor their populations in relation to biodiversity and maintain balance among species.
C. Padubidri   +3 more
semanticscholar   +1 more source

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