Zobrazeno 1 - 10
of 153
pro vyhledávání: '"RongJun Qin"'
Autor:
Qihao Weng, Zhiwei Li, Yinxia Cao, Xiaoyan Lu, Paolo Gamba, Xiaoxiang Zhu, Yonghao Xu, Fan Zhang, Rongjun Qin, Micheal. Y. Yang, Peifeng Ma, Wei Huang, Tiangang Yin, Qiming Zheng, Yuhan Zhou, Greg Asner
Publikováno v:
npj Urban Sustainability, Vol 4, Iss 1, Pp 1-9 (2024)
Abstract Advances in artificial intelligence (AI) and Earth observation (EO) have transformed urban studies. This paper provides a commentary on how the AI-EO integration offers advancements in urban studies and applications. We conclude that AI will
Externí odkaz:
https://doaj.org/article/ccff4e36ea034884b3bdd930b10bd771
Publikováno v:
Remote Sensing, Vol 16, Iss 23, p 4415 (2024)
Photogrammetry has been a cornerstone in mapping history and still functions as one of the key techniques in modern geospatial science and engineering [...]
Externí odkaz:
https://doaj.org/article/8bd03c3036144d73b0f37ede98a7677f
Publikováno v:
Advances in Bridge Engineering, Vol 4, Iss 1, Pp 1-25 (2023)
Abstract In this paper, a new framework is proposed for monitoring the dynamic performance of bridges using three different camera placements and a few visual data processing techniques at low cost and high efficiency. A deep learning method validate
Externí odkaz:
https://doaj.org/article/47376a516f0b438284a597688e01c21d
Autor:
Sean S. Downey, Matthew Walker, Jacob Moschler, Filiberto Penados, William Peterman, Juan Pop, Rongjun Qin, Shane A. Scaggs, Shuang Song
Publikováno v:
Communications Earth & Environment, Vol 4, Iss 1, Pp 1-13 (2023)
Abstract Across the planet, Indigenous societies control, use, and manage large tracts of tropical forest that are crucial for combating climate change. Here we investigate whether customary Indigenous agricultural practices can increase forest speci
Externí odkaz:
https://doaj.org/article/3af54280418f4d80994fc57070b9fe91
Publikováno v:
GIScience & Remote Sensing, Vol 59, Iss 1, Pp 744-761 (2022)
The PlanetScope satellite constellation has over 130 Dove satellites running 24/7, which collect weekly and even daily images globally at 3–5 m resolution. It has global data coverage and high temporal resolution, which constitute the most attracti
Externí odkaz:
https://doaj.org/article/2fe3d819c30d4ada95c38bf5ca5d7790
Publikováno v:
Remote Sensing, Vol 16, Iss 3, p 455 (2024)
Remote sensing (RS) techniques are essential for studying hazardous landslide events because they capture information and monitor sites at scale. They enable analyzing causes and impacts of ongoing events for disaster management. There has been a ple
Externí odkaz:
https://doaj.org/article/448d973f40a64aa383049ae81638f015
Publikováno v:
Remote Sensing, Vol 16, Iss 2, p 327 (2024)
Given the large volume of remote sensing images collected daily, automatic object detection and segmentation have been a consistent need in Earth observation (EO). However, objects of interest vary in shape, size, appearance, and reflecting propertie
Externí odkaz:
https://doaj.org/article/8b4037a291bc49a48a988940ca8d1ea7
Publikováno v:
ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol 8, Iss , Pp 100032- (2023)
Three-dimensional (3D) point cloud registration is a fundamental step for many 3D modeling and mapping applications. Existing approaches are highly disparate in the data source, scene complexity, and application, therefore the current practices in va
Externí odkaz:
https://doaj.org/article/8b7078f6e6a74eaf814f56114f109ee7
Autor:
Dewayany Sutrisno, Ati Rahadiati, Mazlan Bin Hashim, Peter Tian-Yuan Shih, Rongjun Qin, Muhammad Helmi, Armaiki Yusmur, Li Zhang
Publikováno v:
APN Science Bulletin, Vol 2022, Iss 1, Pp 29-43 (2022)
Climate change has a greater effect on the long-term viability of coastal environments and people’s livelihood. The idea of using ecosystems to help people deal with the effects of climate change is becoming more common at the international, nation
Externí odkaz:
https://doaj.org/article/b268d46bcd1a49668630c1015102118b
Autor:
Guixiang Zhang, Shuang Song, Jenny Panescu, Nicholas Shapiro, Karen C Dannemiller, Rongjun Qin
Publikováno v:
PLoS ONE, Vol 18, Iss 6, p e0287099 (2023)
Quantifying the colors of objects is useful in a wide range of applications, including medical diagnosis, agricultural monitoring, and food safety. Accurate colorimetric measurement of objects is a laborious process normally performed through a color
Externí odkaz:
https://doaj.org/article/8e9b67c0e237484bb27e52132d6365c5