Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Hasna Nhaila"'
Publikováno v:
Case Studies in Chemical and Environmental Engineering, Vol 10, Iss , Pp 100942- (2024)
Bouznika, Morocco, is grappling with severe stormwater management challenges stemming from rapid urbanization. Increased impervious surfaces, inadequate drainage infrastructure, and intense rainfall events have led to frequent flooding, erosion, and
Externí odkaz:
https://doaj.org/article/95fec786510a422fbff3a1cfbe6c8bb7
Publikováno v:
Case Studies in Chemical and Environmental Engineering, Vol 10, Iss , Pp 100838- (2024)
This study evaluates the effectiveness of Bouznika's (Morocco) urban development plan in mitigating stormwater runoff and pollution. The plan incorporates Low Impact Development (LID) strategies like green roofs, permeable pavements, and rain gardens
Externí odkaz:
https://doaj.org/article/f8e02b457f20426a8d27db31b3815d46
Publikováno v:
Heliyon, Vol 10, Iss 6, Pp e27920- (2024)
Water holds great significance as a vital resource in our everyday lives, highlighting the important to continuously monitor its quality to ensure its usability. The advent of the. The Internet of Things (IoT) has brought about a revolutionary shift
Externí odkaz:
https://doaj.org/article/b0c8f8ab439e4fceb06e6898db1692fb
Publikováno v:
International Journal of Engineering Trends and Technology. 70:214-221
The Remote sensing provides a synoptic view of land by detecting the energy reflected from Earth's surface. The Hyperspectral images (HSI) use perfect sensors that extract more than a hundred of images, with more detailed information than using tradi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c601c3eb98033bdcf0684c023b529df3
http://arxiv.org/abs/2210.16237
http://arxiv.org/abs/2210.16237
Dimensionality reduction is an important preprocessing step of the hyperspectral images classification (HSI), it is inevitable task. Some methods use feature selection or extraction algorithms based on spectral and spatial information. In this paper,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c8cf9b42329cf75bfea59d6349f99cd
Recently, the hyperspectral sensors have improved our ability to monitor the earth surface with high spectral resolution. However, the high dimensionality of spectral data brings challenges for the image processing. Consequently, the dimensionality r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eaef68e14a9549af0b5716a68c7487d8
Publikováno v:
Procedia Computer Science. 148:97-106
Nowadays, the hyperspectral remote sensing imagery HSI becomes an important tool to observe the Earth's surface, detect the climatic changes and many other applications. The classification of HSI is one of the most challenging tasks due to the large
Publikováno v:
2018 4th International Conference on Optimization and Applications (ICOA).
Feature selection is one of the most important problems in hyperspectral images classification. It consists to choose the most informative bands from the entire set of input datasets and discard the noisy, redundant and irrelevant ones. In this conte
Publikováno v:
2015 Intelligent Systems and Computer Vision (ISCV).
Hyperspectral imagery (HSI) is a remote sensing tool that precisely serves to define the classification of the regions. In fact, the coverage of several images of the ground truth, which provide relevant information, but some of them are influenced b