Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Niangang Jiao"'
Publikováno v:
Leida xuebao, Vol 13, Iss 4, Pp 866-884 (2024)
With the successive launch of high-resolution Synthetic Aperture Radar (SAR) satellites, conducting all-weather, all-time high-precision observation of island regions with variable weather conditions has become feasible. As a key preprocessing step i
Externí odkaz:
https://doaj.org/article/7990e7dbc0414ffa9b258d901c061078
Publikováno v:
Remote Sensing, Vol 16, Iss 20, p 3860 (2024)
Despite the swift advancement of geometric calibration techniques, the geometric performance of remote sensing imagery remains heavily contingent upon the quality and distribution of ground control data. Securing precise ground control data is often
Externí odkaz:
https://doaj.org/article/2f7340492b2c4d7688cc9f7f6c06d591
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2472 (2024)
Instance segmentation of remote sensing images can not only provide object-level positioning information but also provide pixel-level positioning information. This pixel-level information annotation has a wide range of uses in the field of remote sen
Externí odkaz:
https://doaj.org/article/11d0cfc21e8b46d18ed669ed21fd8cfb
Publikováno v:
Applied Sciences, Vol 14, Iss 9, p 3642 (2024)
In the mosaic creation of multiple high-resolution synthetic aperture radar (SAR) images, achieving an optimal seamline in overlapping areas is crucial for seamless and visually satisfactory results. Many existing seamline generation methods are desi
Externí odkaz:
https://doaj.org/article/534e6da03fc14c01b3d037b28aaee50a
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 10279-10286 (2023)
Geometric structural information of objects in synthetic aperture radar (SAR) images is of great significance in target detection and analysis. The existing orthorectification methods of SAR images generally follow the traditional routes of optical i
Externí odkaz:
https://doaj.org/article/6e70493eaff2458ab5bb8b345e640fd6
Publikováno v:
Applied Sciences, Vol 14, Iss 4, p 1528 (2024)
This paper addresses the challenge of extracting feature points and image matching in Synthetic Aperture Radar (SAR) satellite images, particularly focusing on large-scale embedding. The widely used Scale Invariant Transform (SIFT) algorithm, success
Externí odkaz:
https://doaj.org/article/97da2f43abd145e3b8ad974def431336
Publikováno v:
Remote Sensing, Vol 16, Iss 3, p 564 (2024)
Currently, massive Synthetic Aperture Radar (SAR) images acquired from numerous SAR satellites have been widely utilized in various fields, and image mosaicking technology provides important support and assistance for these applications. The traditio
Externí odkaz:
https://doaj.org/article/b16bc72934ae439da06a972db0ca2f67
Publikováno v:
IEEE Access, Vol 8, Pp 94654-94664 (2020)
Nowadays, numerous earth-observation data are obtained from different kinds of platforms, in which data from synthetic aperture radar (SAR) sensors and optical sensors account for the vast majority. They have been widely used in different fields such
Externí odkaz:
https://doaj.org/article/cce479f73ea24b388d9d98404a2652ca
Publikováno v:
Applied Sciences, Vol 12, Iss 19, p 9693 (2022)
Spliced optical satellite cameras suffering from low stitching accuracy are influenced by various factors which can greatly restrict their applications. Most previous studies have focused on the geometric precision of stitched images, which is influe
Externí odkaz:
https://doaj.org/article/094f95f3d81f490bb4f8099e00f07dcb
Publikováno v:
Remote Sensing, Vol 13, Iss 3, p 491 (2021)
Numerous earth observation data obtained from different platforms have been widely used in various fields, and geometric calibration is a fundamental step for these applications. Traditional calibration methods are developed based on the rational fun
Externí odkaz:
https://doaj.org/article/6e3d3d734b994afab38310731c2cd7a8