Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Liegang Xia"'
Publikováno v:
Geocarto International, Vol 39, Iss 1 (2024)
Crop field boundary extraction is crucial to remote sensing images attained to support agricultural production and planning. In recent years, deep convolutional neural networks (CNNs) have gained significant attention for edge detection tasks. Moreov
Externí odkaz:
https://doaj.org/article/2582d57edb354fac80ff43e8ec267bf0
Publikováno v:
Geocarto International, Vol 38, Iss 1 (2023)
AbstractApplication of deep learning technology in remote sensing image target detection(RSITD)has made remarkable progress in recent years. However, existing methods usually fuse spatial context information at the pixel level while ignoring the mini
Externí odkaz:
https://doaj.org/article/93f63299d0cb43b69422a0495db42e6c
Publikováno v:
Remote Sensing, Vol 15, Iss 10, p 2689 (2023)
Automatically extracting 2D buildings from high-resolution remote sensing images is among the most popular research directions in the area of remote sensing information extraction. Semantic segmentation based on a CNN or transformer has greatly impro
Externí odkaz:
https://doaj.org/article/d0005de06b204a6eacaeeff4729b4d4b
Publikováno v:
Remote Sensing, Vol 14, Iss 18, p 4524 (2022)
Change detection extracts change areas in bitemporal remote sensing images, and plays an important role in urban construction and coordination. However, due to image offsets and brightness differences in bitemporal remote sensing images, traditional
Externí odkaz:
https://doaj.org/article/3e8f86dfb44643b4ad382532f1ffcd2b
Publikováno v:
Sensors, Vol 22, Iss 15, p 5678 (2022)
Edge detection of ground objects is a typical task in the field of remote sensing and has advantages in accomplishing many complex ground object extraction tasks. Although recent mainstream edge detection methods based on deep learning have significa
Externí odkaz:
https://doaj.org/article/bd6db864e86c4e6fb787870a1b52e2ae
Publikováno v:
Remote Sensing, Vol 13, Iss 16, p 3083 (2021)
Building extraction is a basic task in the field of remote sensing, and it has also been a popular research topic in the past decade. However, the shape of the semantic polygon generated by semantic segmentation is irregular and does not match the ac
Externí odkaz:
https://doaj.org/article/c21a5514790b4d99ba49933fb760e986
Publikováno v:
Remote Sensing, Vol 13, Iss 11, p 2187 (2021)
The automated detection of buildings in remote sensing images enables understanding the distribution information of buildings, which is indispensable for many geographic and social applications, such as urban planning, change monitoring and populatio
Externí odkaz:
https://doaj.org/article/efd000cbc7c64352b4eccb6ebf96aacc
Publikováno v:
Remote Sensing, Vol 13, Iss 1, p 90 (2020)
High-quality road network information plays a vital role in regional economic development, disaster emergency management and land planning. To date, studies have primarily focused on sampling flat urban roads, while fewer have paid attention to road
Externí odkaz:
https://doaj.org/article/45812c25669b43d79e36668b9ab824f4
Publikováno v:
International Journal of Remote Sensing. 42:9442-9466
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dced6d2478a25b1a776753e9ed380880
https://doi.org/10.1080/01431161.2021.1998716
https://doi.org/10.1080/01431161.2021.1998716
Publikováno v:
International Journal of Remote Sensing. 41:8910-8933
Clouds lead to missing or distorted land-related information in impacted areas in optical remote sensing images. Cloud masking, which labels cloud-contaminated pixels, forms the basis for subsequen...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db22e06408759fbca33d6028e9862a9b
https://doi.org/10.1080/01431161.2020.1792576
https://doi.org/10.1080/01431161.2020.1792576