Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Haibin Ai"'
Publikováno v:
Remote Sensing, Vol 15, Iss 21, p 5116 (2023)
Due to a lack of geographical reference information, complex panoramic camera models, and intricate distortions, including radiation, geometric, and land cover changes, it can be challenging to effectively apply the large number (800,000+) of high-re
Externí odkaz:
https://doaj.org/article/4244a030a6b1422a8242a26a5fd2305c
Publikováno v:
Remote Sensing, Vol 14, Iss 19, p 4820 (2022)
The automatic 3D reconstruction of indoor scenes is of great significance in the application of 3D-scene understanding. The existing methods have poor resilience to the incomplete and noisy point cloud, which leads to low-quality results and tedious
Externí odkaz:
https://doaj.org/article/0ff7b781f4e345c9941bacf533737e2c
Publikováno v:
Remote Sensing, Vol 14, Iss 3, p 478 (2022)
The fusion of image data from multiple sensors is crucial for many applications. However, there are significant nonlinear intensity deformations between images from different kinds of sensors, leading to matching failure. To address this need, this p
Externí odkaz:
https://doaj.org/article/167c0d0c728e4cc2aa70856441052686
Publikováno v:
Remote Sensing, Vol 13, Iss 2, p 274 (2021)
The available stereo matching algorithms produce large number of false positive matches or only produce a few true-positives across oblique stereo images with large baseline. This undesired result happens due to the complex perspective deformation an
Externí odkaz:
https://doaj.org/article/c5f1ec5cc0564689bb9bb278ead7580e
Publikováno v:
Remote Sensing, Vol 12, Iss 21, p 3612 (2020)
Determining samples is considered to be a precondition in deep network training and learning, but at present, samples are usually created manually, which limits the application of deep networks. Therefore, this article proposes an OpenStreetMap (OSM)
Externí odkaz:
https://doaj.org/article/da481f2ec5b84877889adc0552b01e9c
Publikováno v:
Remote Sensing, Vol 10, Iss 12, p 1947 (2018)
Aerial images are widely used for building detection. However, the performance of building detection methods based on aerial images alone is typically poorer than that of building detection methods using both LiDAR and image data. To overcome these l
Externí odkaz:
https://doaj.org/article/821eab0b8a824e0299364ac94e00793e
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 7, Iss 10, p 409 (2018)
The progressive TIN (triangular irregular network) densification (PTD) filter algorithm is widely used for filtering point clouds. In the PTD algorithm, the iterative densification parameters become smaller over the entire process of filtering. This
Externí odkaz:
https://doaj.org/article/aed3979a4a024429ba3c9303e6f07d02
Publikováno v:
Remote Sensing, Vol 8, Iss 9, p 737 (2016)
Over the past few years, there has been an increasing need for semantic information in automatic city modelling. However, due to the complexity of building structure, the semantic reconstruction of buildings is still a challenging task because it is
Externí odkaz:
https://doaj.org/article/6ec8927812954b978869d48ea71fd5ae
Autor:
Wei Yan, Xin Ren, Jianjun Liu, Li Zhang, Wangli Chen, Dong Wang, Qiang Fu, Xu Tan, Xiaoxia Zhang, Haibin Ai, Baoqian Wang, Quanquan Zhi, Zichen Huang, Chen Song
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-14
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Roads play a vital role in rural economic development. However, rural roads feature irregular curvature changes, are narrow, and are built using diverse construction materials, which renders the analysis of road geometric and spectral characteristics