Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Hessah Albanwan"'
Autor:
Hessah ALBANWAN,Rongjun QIN
Publikováno v:
Journal of Geodesy and Geoinformation Science, Vol 5, Iss 4, Pp 1-9 (2022)
The accuracy of Digital Surface Models (DSMs) generated using stereo matching methods varies due to the varying acquisition conditions and configuration parameters of stereo images. It has been a good practice to fuse these DSMs generated from variou
Externí odkaz:
https://doaj.org/article/657427f0bed64a699366f05823d1bdaa
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:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 4000-4013 (2021)
Radiometric normalization is an essential preprocessing step for almost all remote sensing applications such as change detection, image mosaic, and 3-D reconstruction. This article proposes a novel radiometric normalizing method based on spatiotempor
Externí odkaz:
https://doaj.org/article/8436acb4856345849cbfef35c426e238
Publikováno v:
Sensors, Vol 22, Iss 11, p 4262 (2022)
The evolution of mobile mapping systems (MMSs) has gained more attention in the past few decades. MMSs have been widely used to provide valuable assets in different applications. This has been facilitated by the wide availability of low-cost sensors,
Externí odkaz:
https://doaj.org/article/d93b3380b0d84897a054a0b2f80dd959
Publikováno v:
Remote Sensing, Vol 13, Iss 2, p 208 (2021)
The spread of the COVID-19 since the end of 2019 has reached an epidemic level and has quickly become a global public health crisis. During this period, the responses for COVID-19 were highly diverse and decentralized across countries and regions. Un
Externí odkaz:
https://doaj.org/article/c6e31eefdaee41d8ae5fbd6173633b23
Autor:
Hessah Albanwan, Rongjun Qin
Publikováno v:
The Photogrammetric Record. 37:385-409
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49abbeec93b03d00b8b508e6aefcc6cf
https://doi.org/10.1111/phor.12430
https://doi.org/10.1111/phor.12430
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 4000-4013 (2021)
Radiometric normalization is an essential preprocessing step for almost all remote sensing applications such as change detection, image mosaic, and 3-D reconstruction. This article proposes a novel radiometric normalizing method based on spatiotempor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca8be4cf7453f506a960f9fb28d4477c
https://ieeexplore.ieee.org/document/9392311/
https://ieeexplore.ieee.org/document/9392311/
Publikováno v:
Photogrammetric Engineering & Remote Sensing. 86:23-31
The current practice in land cover/land use change analysis relies heavily on the individually classified maps of the multi-temporal data set. Due to varying acquisition conditions (e.g., illumination, sensors, seasonal differences), the classificati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::684cd5132c42f43f569c5f3d7cb66eec
https://doi.org/10.14358/pers.86.1.23
https://doi.org/10.14358/pers.86.1.23
Autor:
Rongjun Qin, Hessah Albanwan
Publikováno v:
Recent Advances in Image Restoration with Applications to Real World Problems
Remote sensing images and techniques are powerful tools to investigate earth’s surface. Data quality is the key to enhance remote sensing applications and obtaining clear and noise-free set of data is very difficult in most situations due to the va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc90466b29de2665e86bdf1b6e7fddf3
http://www.intechopen.com/articles/show/title/spatiotemporal-fusion-in-remote-sensing
http://www.intechopen.com/articles/show/title/spatiotemporal-fusion-in-remote-sensing
Autor:
Hessah Albanwan, Rongjun Qin
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 142:51-63
Time-sequence remote sensing images are usually captured under varying acquisition conditions due to atmospheric differences, lighting condition, humidity etc. Comparing the spectral values of the well-registered images taken at a different time is a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a6ff7ae3e6c3093dce6d8bf28b231f8
https://doi.org/10.1016/j.isprsjprs.2018.05.020
https://doi.org/10.1016/j.isprsjprs.2018.05.020