Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Qianpeng Chong"'
Publikováno v:
European Journal of Remote Sensing, Vol 57, Iss 1 (2024)
ABSTRACTSea-Land Segmentation (SLS) of remote sensing images is a meaningful task in the remote sensing and computer vision community. Some tricky situations, such as intraclass heterogeneity due to imaging constraints, inherent interclass similarity
Externí odkaz:
https://doaj.org/article/ffc9368c449a49fb8ab7c0efbd332337
Publikováno v:
Remote Sensing, Vol 16, Iss 19, p 3594 (2024)
Semantic segmentation is crucial for a wide range of downstream applications in remote sensing, aiming to classify pixels in remote sensing images (RSIs) at the semantic level. The dramatic variations in grayscale and the stacking of categories withi
Externí odkaz:
https://doaj.org/article/e33db9256b1b4179a3348d841e18223f
Autor:
Tingting Qu, Jindong Xu, Qianpeng Chong, Zhaowei Liu, Weiqing Yan, Xuan Wang, Yongchao Song, Mengying Ni
Publikováno v:
European Journal of Remote Sensing, Vol 56, Iss 1 (2023)
ABSTRACTRemote sensing image segmentation plays an important role in many industrial-grade image processing applications. However, the problem of uncertainty caused by intraclass heterogeneity and interclass blurring is prevalent in high-resolution r
Externí odkaz:
https://doaj.org/article/e94bceb240294f26992215fd7627384c
Publikováno v:
European Journal of Remote Sensing, Vol 56, Iss 1 (2023)
ABSTRACTThe progress in optical remote sensing technology presents both a possibility and challenge for small object segmentation task. However, the gap between human vision cognition and machine behavior still poses an inherent constrains to the int
Externí odkaz:
https://doaj.org/article/bb02d59c16a044c082a11f2edb44040a
Publikováno v:
Canadian Journal of Remote Sensing, Vol 49, Iss 1 (2023)
Black and odorous water seriously affects the ecological balance of rivers and the health of people living nearby. Satellite remote sensing technology with its advantages of a large range, long-time series, low cost, and high efficiency, has provided
Externí odkaz:
https://doaj.org/article/3b9b6bfd3c4a478bb31d87fbedf72410
Autor:
Jie Wang, Jindong Xu, Qianpeng Chong, Zhaowei Liu, Weiqing Yan, Haihua Xing, Qianguo Xing, Mengying Ni
Publikováno v:
Remote Sensing, Vol 15, Iss 8, p 2070 (2023)
Convolutional neural-network-based autoencoders, which can integrate the spatial correlation between pixels well, have been broadly used for hyperspectral unmixing and obtained excellent performance. Nevertheless, these methods are hindered in their
Externí odkaz:
https://doaj.org/article/d95829dddbc7405997577373adfc14dd
Publikováno v:
International Journal of Remote Sensing. 43:5480-5501