Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Chenbin Liang"'
Publikováno v:
Remote Sensing, Vol 16, Iss 4, p 720 (2024)
The frequent occurrence of global flood disasters leads to millions of people falling into poverty each year, which poses immense pressure on governments and hinders social development. Therefore, providing more data support for flood disaster detect
Externí odkaz:
https://doaj.org/article/950d4b91bfc94e33a25d74c1f4385ef3
Publikováno v:
Remote Sensing, Vol 15, Iss 13, p 3243 (2023)
Feature matching is a core step in multi-source remote sensing image registration approaches based on feature. However, for existing methods, whether traditional classical SIFT algorithm or deep learning-based methods, they essentially rely on genera
Externí odkaz:
https://doaj.org/article/893553470bf04561b997b4257fec8bdf
Publikováno v:
Remote Sensing, Vol 15, Iss 1, p 236 (2022)
Massive and diverse remote sensing data provide opportunities for data-driven tasks in the real world, but also present challenges in terms of data processing and analysis, especially pixel-level image interpretation. However, the existing shallow-le
Externí odkaz:
https://doaj.org/article/6284ad4fe7984feea9a60f09f8f14dc4
Publikováno v:
Sensors, Vol 22, Iss 13, p 4791 (2022)
Image registration based on feature is a commonly used approach due to its robustness in complex geometric deformation and larger gray difference. However, in practical application, due to the effect of various noises, occlusions, shadows, gray diffe
Externí odkaz:
https://doaj.org/article/93494ec3223641f7988c56fbce703232
Publikováno v:
Remote Sensing, Vol 13, Iss 21, p 4237 (2021)
Agricultural greenhouses (AGs) are an important component of modern facility agriculture, and accurately mapping and dynamically monitoring their distribution are necessary for agricultural scientific management and planning. Semantic segmentation ca
Externí odkaz:
https://doaj.org/article/6e58c899e6f546afa0684d38e63dd1e9
Publikováno v:
Remote Sensing, Vol 13, Iss 6, p 1083 (2021)
Coastal aquaculture areas are some of the main areas to obtain marine fishery resources and are vulnerable to storm-tide disasters. Obtaining the information of coastal aquaculture areas quickly and accurately is important for the scientific manageme
Externí odkaz:
https://doaj.org/article/2bc58728c4c3446daaa025757dd071d8
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 9, Iss 2, p 109 (2020)
Feature extraction of an urban area is one of the most important directions of polarimetric synthetic aperture radar (PolSAR) applications. A high-resolution PolSAR image has the characteristics of high dimensions and nonlinearity. Therefore, to find
Externí odkaz:
https://doaj.org/article/541a0a633e844dd09bc32f99c478eb87
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 61:1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1d540f2c2d42f8d3bc6511c8c8ae4e2
https://doi.org/10.1109/tgrs.2023.3236957
https://doi.org/10.1109/tgrs.2023.3236957
Publikováno v:
Remote Sensing; Volume 15; Issue 13; Pages: 3243
Feature matching is a core step in multi-source remote sensing image registration approaches based on feature. However, for existing methods, whether traditional classical SIFT algorithm or deep learning-based methods, they essentially rely on genera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::056b8676fa7b31436a66b4001f0ae649
Publikováno v:
Natural Hazards. 112:349-365
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90ff7e1f8a1467fb898d1643fa4a0701
https://doi.org/10.1007/s11069-021-05184-9
https://doi.org/10.1007/s11069-021-05184-9