Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Baoguo Wei"'
Publikováno v:
Sensors, Vol 24, Iss 17, p 5620 (2024)
Metric-based meta-learning methods have demonstrated remarkable success in the domain of few-shot image classification. However, their performance is significantly contingent upon the choice of metric and the feature representation for the support cl
Externí odkaz:
https://doaj.org/article/2c51eb63d6884faab75b54d066740ee3
Publikováno v:
Remote Sensing, Vol 16, Iss 7, p 1167 (2024)
In recent years, hyperspectral (HS) sharpening technology has received high attention and HS sharpened images have been widely applied. However, the quality assessment of HS sharpened images has not been well addressed and is still limited to the use
Externí odkaz:
https://doaj.org/article/9b9c96b81dd14b54afda3a4100e0ae92
Publikováno v:
Remote Sensing, Vol 15, Iss 6, p 1557 (2023)
With the rapid development of hyperspectral imaging technology, object tracking in hyperspectral video has become a research hotspot. Real-time object tracking for hyperspectral video is a great challenge. We propose a fast hyperspectral object track
Externí odkaz:
https://doaj.org/article/41f22720b4e94149aae6ff945ea425da
Publikováno v:
2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b570eb1e0c6c954cce114a05d8c1305d
https://doi.org/10.1109/iciea54703.2022.10005936
https://doi.org/10.1109/iciea54703.2022.10005936
Publikováno v:
2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ebbac7900ec9a8b28ac4d8ad1883dad
https://doi.org/10.1109/iciea54703.2022.10005962
https://doi.org/10.1109/iciea54703.2022.10005962
Publikováno v:
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09b6818faca00fc66433c3114898b776
https://doi.org/10.1109/icspcc55723.2022.9984505
https://doi.org/10.1109/icspcc55723.2022.9984505
Publikováno v:
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1cfdd5cb7de3f50c9f99a53ccc6b0a0
https://doi.org/10.1109/icspcc55723.2022.9984418
https://doi.org/10.1109/icspcc55723.2022.9984418
Publikováno v:
International Journal of Molecular Sciences; Volume 23; Issue 20; Pages: 12227
Cytoplasmic male sterility (CMS) lays a foundation for the utilization of heterosis in soybean. The soybean CMS line SXCMS5A is an excellent CMS line exhibiting 100% male sterility. Cytological analysis revealed that in SXCMS5A compared to its mainta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09190b90eb03ba2ec77479f7c546fc42
Publikováno v:
2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5c283e4098cb41e30bd23a14f2a913e
https://doi.org/10.1109/whispers56178.2022.9955094
https://doi.org/10.1109/whispers56178.2022.9955094
Publikováno v:
Genetic Resources and Crop Evolution. 68:2907-2921
Branch number on the main stem (BNMS) is an important factor that affects crop plant architecture and yield in soybean [Glycine max (L.) Merr.]. With the aim of elucidating the genetic basis of BNMS, 10 consensus quantitative trait loci (QTLs) were i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5847ef836ee342d7baa8f8ec93af4483
https://doi.org/10.1007/s10722-021-01163-y
https://doi.org/10.1007/s10722-021-01163-y