Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Yuanzhi Cai"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 18223-18234 (2024)
Deep learning methods, especially convolutional neural networks (CNNs) and vision transformers (ViTs), are frequently employed to perform semantic segmentation of high-resolution remotely sensed images. However, CNNs are constrained by their restrict
Externí odkaz:
https://doaj.org/article/b3e5cb75ee254917a29ca548c7ce8694
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 6325-6338 (2023)
Pansharpening is a process of fusing a high spatial resolution panchromatic image and a low spatial resolution multispectral (MS) image to create a high-resolution MS image. A novel single-branch, single-scale lightweight convolutional neural network
Externí odkaz:
https://doaj.org/article/74719853420f45d995708b7f16773f61
Publikováno v:
Buildings, Vol 13, Iss 2, p 507 (2023)
Point cloud data have become the primary spatial data source for the 3D reconstruction of building engineering, where 3D reconstructed building information models can improve construction efficiency. In such applications, detecting windows and doors
Externí odkaz:
https://doaj.org/article/9ba8229abc804578805033c7f8212293
Publikováno v:
Remote Sensing, Vol 14, Iss 11, p 2673 (2022)
Semantic segmentation of remotely sensed imagery is a basic task for many applications, such as forest monitoring, cloud detection, and land-use planning. Many state-of-the-art networks used for this task are based on RGB image datasets and, as such,
Externí odkaz:
https://doaj.org/article/f23feeb0165f44f3964994d778367106
Autor:
Lei Fan, Yuanzhi Cai
Publikováno v:
Remote Sensing, Vol 13, Iss 19, p 3796 (2021)
Laser scanning is a popular means of acquiring the indoor scene data of buildings for a wide range of applications concerning indoor environment. During data acquisition, unwanted data points beyond the indoor space of interest can also be recorded d
Externí odkaz:
https://doaj.org/article/ef6362fc2f1348469777ef63dd8032d5
Autor:
Yuanzhi Cai, Lei Fan
Publikováno v:
Remote Sensing, Vol 13, Iss 10, p 1947 (2021)
Recent years have witnessed an increasing use of 3D models in general and 3D geometric models specifically of built environment for various applications, owing to the advancement of mapping techniques for accurate 3D information. Depending on the app
Externí odkaz:
https://doaj.org/article/5f610baaa51d4cd3834d7158e10412e9
Publikováno v:
Remote Sensing, Vol 13, Iss 7, p 1367 (2021)
Over the last decade, a 3D reconstruction technique has been developed to present the latest as-is information for various objects and build the city information models. Meanwhile, deep learning based approaches are employed to add semantic informati
Externí odkaz:
https://doaj.org/article/293d881effc64762a2f271bd6d0760f9
Point cloud data acquired using terrestrial laser scanning (TLS) often need to be semantically segmented to support many applications. To this end, various point-, voxel-, and image-based methods have been developed. For large-scale point cloud data,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5ad01d493c0d04a204dc9837d921419
https://doi.org/10.1109/tgrs.2022.3161982
https://doi.org/10.1109/tgrs.2022.3161982
Semantic segmentation of Very High Resolution (VHR) remote sensing images is a fundamental task for many applications. However, large variations in the scales of objects in those VHR images pose a challenge for performing accurate semantic segmentati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb3542d442a5e07df8351f26851d0ac6
Publikováno v:
2021 International Conference on Image, Video Processing, and Artificial Intelligence.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b17b98928aa084c7176f250250ddf52b
https://doi.org/10.1117/12.2611685
https://doi.org/10.1117/12.2611685