Zobrazeno 1 - 10
of 10
pro vyhledávání: '"I. R. Farah"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B1, Pp 453-460 (2016)
Soil moisture is important to enable the growth of vegetation in the way that it also conditions the development of plant population. Additionally, its assessment is important in hydrology and agronomy, and is a warning parameter for desertification.
Externí odkaz:
https://doaj.org/article/936e243c0028401493e5dc42e18b92e7
Publikováno v:
Remote Sensing Letters. 13:980-990
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8391c66faf74a3ea6fae4caa01a1aa1b
https://doi.org/10.1080/2150704x.2022.2115862
https://doi.org/10.1080/2150704x.2022.2115862
Publikováno v:
2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring).
This paper investigates applications of neural network (NN) and genetic algorithms (GAs) to invert geophysical parameters from synthetic radar data. The GA belongs to the family of stochastic approaches for optimization. They are known to explore lar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a87f5401038f242725b59f1287e8321
https://doi.org/10.1109/piers-spring46901.2019.9017609
https://doi.org/10.1109/piers-spring46901.2019.9017609
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B1, Pp 453-460 (2016)
Soil moisture is important to enable the growth of vegetation in the way that it also conditions the development of plant population. Additionally, its assessment is important in hydrology and agronomy, and is a warning parameter for desertification.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d1feb7b18c641b11d7acbd55d62a734
https://doi.org/10.5194/isprs-archives-xli-b1-453-2016
https://doi.org/10.5194/isprs-archives-xli-b1-453-2016
Autor:
Z. B. Rabah, I. R. Farah
Publikováno v:
ATSIP
The recent advances of hyperspectral remote sensing systems lead to a vastly improved ability to classify land-cover classes that are very similar in their spectral properties. In addition, Hyperspectral Imaging has cleared the path for a wide range
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e4c7326afa00640510e37ea7efb670f
https://doi.org/10.1109/atsip.2016.7523157
https://doi.org/10.1109/atsip.2016.7523157
Autor:
I. R. Farah, M. B. Ahmed
Publikováno v:
International Journal of Remote Sensing. 31:13-38
In this paper we propose a new approach for land cover classification using blind sources separation (BSS) and satellite image fusion methods simultaneously. Satellite image pixels are represented by radiometric values where each pixel is considered
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9283cf16bc595b70de3e1ac5e1977f87
https://doi.org/10.1080/01431160902882504
https://doi.org/10.1080/01431160902882504
Publikováno v:
International Image Processing, Applications and Systems Conference.
Hyperspectral sensors (HS) are next-generation optical sensors that have excellent spectroscopic performance with hundreds of spectral bands. Multispectral sensors (MS) are conventional optical sensors that have a few tens of spectral bands with high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e11dada85fddcebdbd1fe9856ac3d2e3
https://doi.org/10.1109/ipas.2014.7043262
https://doi.org/10.1109/ipas.2014.7043262
The huge development of new technologies and the apparition of open communication system more and more sophisticated create a new challenge to protect digital content from piracy. Digital watermarking is a recent research axis and a new technique sug
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f751ebaa8847c44302cefbea2444e152
The overall objective of this paper is to retrieve soil surfaces parameters namely, roughness and soil moisture related to the dielectric constant by inverting the radar backscattered signal from natural soil surfaces. Because the classical descripti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f463f86bc941167e76bfbbe3aac12fe
Publikováno v:
Scopus-Elsevier
In this paper, we propose to simulate the SAR response of semi-arid subsurfaces. We characterize the soil surfaces and subsurfaces by a two layer geo-electrical model. The up- per layer is described by its dielectrical constant, thickness, a multi-sc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f04f5f2ffe693d26605e594bd7e0c303
http://www.scopus.com/inward/record.url?eid=2-s2.0-79952667342&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-79952667342&partnerID=MN8TOARS