Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Dazhao Fan"'
Publikováno v:
IET Image Processing, Vol 17, Iss 9, Pp 2698-2709 (2023)
Abstract Point cloud registration is of great significance to the reconstruction of high‐precision 3D city models. There are some challenges when aligning aerial and close‐range photogrammetric point clouds, such as huge view differences caused b
Externí odkaz:
https://doaj.org/article/dc78ad13673b4c1a9bb5af2f5b78c3e2
Publikováno v:
Geocarto International, Vol 39, Iss 1 (2024)
Rapid urbanization currently poses a threat to cropland areas. Therefore, exploring the pattern of change in cropland areas and its driving mechanism is of great significance in safeguarding regional economic development and food security. In this st
Externí odkaz:
https://doaj.org/article/fc77a6b0f35f4e20a086af20b850662f
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 3, p 62 (2024)
Accurate building geometry information is crucial for urban planning in constrained spaces, fueling the growing demand for large-scale, high-precision 3D city modeling. Traditional methods like oblique photogrammetry and LiDAR prove time consuming an
Externí odkaz:
https://doaj.org/article/a982311581d149799b2828c151c2f86a
Publikováno v:
Sensors, Vol 23, Iss 21, p 8752 (2023)
Laser altimetry data from the Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) contain a lot of noise, which necessitates the requirement for a signal photon extraction method. In this study, we propose a density clustering method, which combine
Externí odkaz:
https://doaj.org/article/6ebbb26f397a4d489cb250828eb31c9b
Publikováno v:
Applied Sciences, Vol 13, Iss 16, p 9402 (2023)
Sea ice extraction and segmentation of remote sensing images is the basis for sea ice monitoring. Traditional image segmentation methods rely on manual sampling and require complex feature extraction. Deep-learning-based semantic segmentation methods
Externí odkaz:
https://doaj.org/article/50fdd993dd7a43b7b2125ce697d0e8b5
Publikováno v:
Sensors, Vol 23, Iss 12, p 5771 (2023)
The complex backgrounds of satellite videos and serious interference from noise and pseudo-motion targets make it difficult to detect and track moving vehicles. Recently, researchers have proposed road-based constraints to remove background interfere
Externí odkaz:
https://doaj.org/article/a566c4ffeed64b14a4a907c875b8861a
Publikováno v:
IEEE Access, Vol 9, Pp 15467-15484 (2021)
Image matching is the research basis of many computer vision problems, such as intelligent driving, object recognition and structure from motion. However, the traditional feature-based image-matching results are usually very sparse and unevenly distr
Externí odkaz:
https://doaj.org/article/dd6a6b502395427fbf9c7cc5961676e1
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 12, Iss 4, p 150 (2023)
In the field of geoinformation science, multiview, image-based 3D city modeling has developed rapidly, and image depth estimation is an important step in it. To address the problems of the poor adaptability of training models of existing neural netwo
Externí odkaz:
https://doaj.org/article/3302892053df41588f943d4cfdde73be
Publikováno v:
IEEE Access, Vol 8, Pp 32601-32616 (2020)
Image feature matching is an important step in close range photogrammetric applications, and implementing a fast, accurate and robust feature-based image matching technique is a challenging task. To solve the problems of traditional image feature mat
Externí odkaz:
https://doaj.org/article/3393655145f647b6b4c829c0dfee465b
Publikováno v:
Journal of Geodesy and Geoinformation Science, Vol 2, Iss 2, Pp 90-100 (2019)
This article focuses on the first aspect of the album of deep learning: the deep convolutional method. The traditional matching point extraction algorithm typically uses manually designed feature descriptors and the shortest distance between them to
Externí odkaz:
https://doaj.org/article/a53c60c53e704db29678da1709fbea03