Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Geophysical techniques and equipment"'
Autor:
Lamia Fatma Houbaba Chaouche Ramdane, Habib Mahi, Mostafa El Habib Daho, Mohammed El Amine Lazouni
Publikováno v:
IET Image Processing, Vol 16, Iss 1, Pp 252-260 (2022)
Abstract The Multiple Classifier System (or classifier ensemble) is the consensus of different clustering algorithms that can provide high accuracy for the best partition and thus overcome the constraints of conventional approaches based on single cl
Externí odkaz:
https://doaj.org/article/03fea0c820404d788610cce3d763c2c1
Autor:
Le Liang, Guoli Wang
Publikováno v:
IET Image Processing, Vol 15, Iss 8, Pp 1712-1721 (2021)
Abstract Scene classification for remote sensing is a popular topic, and many recent convolutional neural networks (CNNs)‐based methods have shown the great model capacity and learning ability of highly discriminative features. Given a large number
Externí odkaz:
https://doaj.org/article/79ae8c41a1364242a66f68cef1c82723
Publikováno v:
IET Image Processing, Vol 15, Iss 7, Pp 1399-1409 (2021)
Abstract Hyperspectral unmixing is an important technique which attempts to acquire pure spectra of distinct substances (endmembers) and estimate fractional abundances from highly mixed pixels. This paper proposed a novel deep network‐based framewo
Externí odkaz:
https://doaj.org/article/2f86b52ef5fe4e40bd1d34387c69b427
Autor:
Sourabh Paul, Umesh C. Pati
Publikováno v:
IET Image Processing, Vol 15, Iss 6, Pp 1319-1331 (2021)
Abstract The high‐resolution optical and synthetic aperture radar (SAR) images are widely used in many remote sensing application areas such as image fusion and change detection where image registration is a fundamental step. The latest high‐reso
Externí odkaz:
https://doaj.org/article/db953ed2347e4e2098565aad9563a4ed
Publikováno v:
IET Image Processing, Vol 15, Iss 5, Pp 1179-1188 (2021)
Abstract Many very deep neural networks are proposed to obtain accurate super‐resolution reconstruction of remote sensing images. However, the deeper the network for image SR is, the more difficult it is to train. The low‐resolution inputs and fe
Externí odkaz:
https://doaj.org/article/8d9bb1ecd8d241c58441d14f2ea12b8f
Publikováno v:
Electronics Letters, Vol 57, Iss 21, Pp 807-809 (2021)
Abstract Through‐wall radar is an emergent technology rooted in urban surveillance, a key component being synthetic aperture radar (SAR). Accurate through‐wall SAR relies on knowledge of the refractive index and thickness of any obscuring walls.
Externí odkaz:
https://doaj.org/article/2558ad4389b343438a4ccbfae70b1af0
Publikováno v:
IET Image Processing, Vol 15, Iss 3, Pp 634-647 (2021)
Abstract In recent decades, global warming has contributed to an increase in the number and intensity of wildfires destroying millions hectares of forest areas and causing many casualties each year. Firemen must therefore have the most effective mean
Externí odkaz:
https://doaj.org/article/ed2aa61e6c93494db16cf2a170f351d7
Publikováno v:
The Journal of Engineering, Vol 2021, Iss 2, Pp 85-96 (2021)
Abstract Hyperspectral images are used to produce effective solutions in many areas due to the number of information they have. However, the number of information they provide may not bring an advantage always, in contrast, it may cause confusion som
Externí odkaz:
https://doaj.org/article/8d27e69d0fd14e5a924641ad2025ee17
Publikováno v:
IET Image Processing, Vol 15, Iss 1, Pp 47-56 (2021)
Abstract The object identification within an image captured during rough weather conditions (such as haze, fog) poses difficulty due to the reduction of an image. The rough weather conditions lead not only to the variation of the image's visual effec
Externí odkaz:
https://doaj.org/article/4beb0611ad43402d9fb6e032c8e9f143
Autor:
Junjun Yin, Jian Yang
Publikováno v:
Electronics Letters, Vol 57, Iss 7, Pp 282-284 (2021)
Abstract This study proposes a new scattering vector parameterisation method for interpreting the coherent target scattering. This new scattering model, which has the same form as the α/β model, consists of five polarimetric parameters including th
Externí odkaz:
https://doaj.org/article/cba59d3b78b8499f9a24abfb4db37308