Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Qiulei Dong"'
Publikováno v:
Remote Sensing, Vol 16, Iss 14, p 2627 (2024)
Semantic feature space plays a bridging role from ‘seen classes’ to ‘unseen classes’ in zero-shot learning (ZSL). However, due to the nature of SAR distance-based imaging, which is drastically different from that of optical imaging, how to co
Externí odkaz:
https://doaj.org/article/4ec7ac19b1f541d0ab99939234432651
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2376 (2024)
In this work, a language-level Semantics-Conditioned framework for 3D Point cloud segmentation, called SeCondPoint, is proposed, where language-level semantics are introduced to condition the modeling of the point feature distribution, as well as the
Externí odkaz:
https://doaj.org/article/1c9f2e1d02d94145acfb69812ef365f7
Publikováno v:
Leida xuebao, Vol 11, Iss 1, Pp 144-156 (2022)
This study proposes a progressive building facade detection method based on structure priors to effectively detect building facades from massive array InSAR spatial points with noise. First, the proposed method projects the initial array of InSAR thr
Externí odkaz:
https://doaj.org/article/6d810fef9bdb435b9d8b66d09228854e
Autor:
Xiaolan QIU, Zekun JIAO, Lingxiao PENG, Jiankun CHEN, Jiayi GUO, Liangjiang ZHOU, Longyong CHEN, Chibiao DING, Feng XU, Qiulei DONG, Shouye LYU
Publikováno v:
Leida xuebao, Vol 10, Iss 4, Pp 485-498 (2021)
Three-dimensional (3D) imaging is one of the leading trends in the development of Synthetic Aperture Radar (SAR) technology. The current SAR 3D imaging system mainly includes tomography and array interferometry, both with drawbacks of either long acq
Externí odkaz:
https://doaj.org/article/65ce5662152b4bdf913604976a68f075
Publikováno v:
Remote Sensing, Vol 15, Iss 5, p 1324 (2023)
Ship instance segmentation in synthetic aperture radar (SAR) images is a hard and challenging task, which not only locates ships but also obtains their shapes with pixel-level masks. However, in ocean SAR images, because of the consistent reflective
Externí odkaz:
https://doaj.org/article/9213ca73593541b594811e7a3e7269b2
Publikováno v:
Remote Sensing, Vol 14, Iss 9, p 2252 (2022)
Single-view height estimation and semantic segmentation have received increasing attention in recent years and play an important role in the photogrammetry and remote sensing communities. The height information and semantic information of images are
Externí odkaz:
https://doaj.org/article/9e5801fd02f6409390de70b89c2952ff
Publikováno v:
Frontiers in Computational Neuroscience, Vol 14 (2020)
Recently DCNN (Deep Convolutional Neural Network) has been advocated as a general and promising modeling approach for neural object representation in primate inferotemporal cortex. In this work, we show that some inherent non-uniqueness problem exist
Externí odkaz:
https://doaj.org/article/3b2934c0f4fa420d8f60d48634e479c7
Publikováno v:
Frontiers in Computational Neuroscience, Vol 12 (2018)
Externí odkaz:
https://doaj.org/article/ff004a72221040b8aa5e71fd1a608b81
Publikováno v:
Frontiers in Computational Neuroscience, Vol 11 (2017)
Lehky et al. (2011) provided a statistical analysis on the responses of the recorded 674 neurons to 806 image stimuli in anterior inferotemporalm (AIT) cortex of two monkeys. In terms of kurtosis and Pareto tail index, they observed that the populati
Externí odkaz:
https://doaj.org/article/7d54765e5f3e4e839976b40944c61998
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 13 (2016)
Predicting depth from a single image is an important problem for understanding the 3-D geometry of a scene. Recently, the nonparametric depth sampling (DepthTransfer) has shown great potential in solving this problem, and its two key components are a
Externí odkaz:
https://doaj.org/article/4c2f2909edca45d2922efaf737a1f946