Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Mohamad M. Al Rahhal"'
Autor:
Laila Bashmal, Yakoub Bazi, Farid Melgani, Riccardo Ricci, Mohamad M. Al Rahhal, Mansour Zuair
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 3279-3293 (2023)
Visual question generation (VQG) is a fundamental task in vision-language understanding that aims to generate relevant questions about the given input image. In this article, we propose a paragraph-based VQG approach for generating intelligent questi
Externí odkaz:
https://doaj.org/article/b49cde89939c4b998ccfc39786ac1561
Autor:
Mohamad M. Al Rahhal, Yakoub Bazi, Norah A. Alsharif, Laila Bashmal, Naif Alajlan, Farid Melgani
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 9115-9126 (2022)
Cross-modal text-image retrieval in remote sensing (RS) provides a flexible retrieval experience for mining useful information from RS repositories. However, existing methods are designed to accept queries formulated in the English language only, whi
Externí odkaz:
https://doaj.org/article/6f63226a433d4cf98d007509067e18aa
Autor:
Mohamad M. Al Rahhal, Mohamed Abdelkader Bencherif, Yakoub Bazi, Abdullah Alharbi, Mohamed Lamine Mekhalfi
Publikováno v:
Applied Sciences, Vol 13, Iss 1, p 282 (2022)
Remote sensing technology has advanced rapidly in recent years. Because of the deployment of quantitative and qualitative sensors, as well as the evolution of powerful hardware and software platforms, it powers a wide range of civilian and military a
Externí odkaz:
https://doaj.org/article/dea41653ad2a4b9793cc66e81f1d9ca8
Publikováno v:
Remote Sensing, Vol 13, Iss 3, p 516 (2021)
In this paper, we propose a remote-sensing scene-classification method based on vision transformers. These types of networks, which are now recognized as state-of-the-art models in natural language processing, do not rely on convolution layers as in
Externí odkaz:
https://doaj.org/article/aa8eacb888bb4e66a99f84c0a67ceba6
Publikováno v:
Applied Sciences, Vol 10, Iss 24, p 8931 (2020)
Compared to image-image retrieval, text-image retrieval has been less investigated in the remote sensing community, possibly because of the complexity of appropriately tying textual data to respective visual representations. Moreover, a single image
Externí odkaz:
https://doaj.org/article/61810f1e6fd14ce9a35e29cdd12caa5c
Autor:
Bilel Benjdira, Kais Ouni, Mohamad M. Al Rahhal, Abdulrahman Albakr, Amro Al-Habib, Emad Mahrous
Publikováno v:
Applied Sciences, Vol 10, Iss 4, p 1370 (2020)
In this paper, we study and evaluate the task of semantic segmentation of the spinal cord in ultrasound medical imagery. This task is useful for neurosurgeons to analyze the spinal cord movement during and after the laminectomy surgical operation. La
Externí odkaz:
https://doaj.org/article/d8aa7b0f2c154bc588037ef629c9c066
Autor:
Taghreed Abdullah, Yakoub Bazi, Mohamad M. Al Rahhal, Mohamed L. Mekhalfi, Lalitha Rangarajan, Mansour Zuair
Publikováno v:
Remote Sensing, Vol 12, Iss 3, p 405 (2020)
Exploring the relevance between images and their respective natural language descriptions, due to its paramount importance, is regarded as the next frontier in the general computer vision literature. Thus, recently several works have attempted to map
Externí odkaz:
https://doaj.org/article/e565931f88084932aa2d6611aa2abfda
Autor:
Mohamad M. Al Rahhal, Yakoub Bazi, Taghreed Abdullah, Mohamed L. Mekhalfi, Haikel AlHichri, Mansour Zuair
Publikováno v:
Remote Sensing, Vol 10, Iss 12, p 1890 (2018)
In this paper we propose a multi-branch neural network, called MB-Net, for solving the problem of knowledge adaptation from multiple remote sensing scene datasets acquired with different sensors over diverse locations and manually labeled with differ
Externí odkaz:
https://doaj.org/article/0f07ba80b362489d9a958e09f45bc5c8
Autor:
Mohamad M. Al Rahhal, Yakoub Bazi, Sara O. Alsaleh, Muna Al-Razgan, Mohamed Lamine Mekhalfi, Mansour Al Zuair, Naif Alajlan
Publikováno v:
International Journal of Remote Sensing. 43:6809-6823
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1a72bd27fc896c7183b948481065adb
https://doi.org/10.1080/01431161.2022.2145583
https://doi.org/10.1080/01431161.2022.2145583
Autor:
Mohamad M. Al Rahhal, Yakoub Bazi, Reham Al-Dayil, Bashair M. Alwadei, Nassim Ammour, Naif Alajlan
Publikováno v:
International Journal of Remote Sensing. 43:6027-6037
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fefe95fefa216d4588028f9988d9e89
https://doi.org/10.1080/01431161.2022.2044539
https://doi.org/10.1080/01431161.2022.2044539