Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Baipeng Li"'
Publikováno v:
Remote Sensing, Vol 14, Iss 21, p 5590 (2022)
Land surface reflectance (LSR) data form the basis of quantitatively remotely sensed applications. For accurate LSR retrieval, atmospheric correction has been investigated by many researchers and implemented in typical processing systems, including c
Externí odkaz:
https://doaj.org/article/a25678e242354ad28bc7d280e0654d40
Publikováno v:
Remote Sensing, Vol 14, Iss 6, p 1432 (2022)
In recent years, with the development of deep learning in remotely sensed big data, semantic segmentation has been widely used in large-scale landcover classification. Landsat imagery has the advantages of wide coverage, easy acquisition, and good qu
Externí odkaz:
https://doaj.org/article/2b5b8a76d82b4986831544d68d00730b
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 187:101-119
Change detection is the process of identifying pixelwise differences in bitemporal co-registered images. It is of great significance to Earth observations. Recently, with the emergence of deep learning (DL), the power and feasibility of deep convolut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75e7a4a990aeddb139376b263422d59e
https://doi.org/10.1016/j.isprsjprs.2022.02.021
https://doi.org/10.1016/j.isprsjprs.2022.02.021
Publikováno v:
Remote Sensing, Vol 12, Iss 16, p 2626 (2020)
The timely and accurate mapping and monitoring of mine tailings dams is crucial to the improvement of management practices by decision makers and to the prevention of disasters caused by failures of these dams. Due to the complex topography, varying
Externí odkaz:
https://doaj.org/article/fc2a36fae0c4451c9c29bc856366991e
Autor:
Xiuping Jia, Shanshan Li, Xuan Yang, Jocelyn Chanussot, Baipeng Li, Zhengchao Chen, Bing Zhang, Pan Chen
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing
ISPRS Journal of Photogrammetry and Remote Sensing, 2021, 177, pp.238-262. ⟨10.1016/j.isprsjprs.2021.05.004⟩
ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, 2021, 177 (July), pp.238-262. ⟨10.1016/j.isprsjprs.2021.05.004⟩
ISPRS Journal of Photogrammetry and Remote Sensing, 2021, 177, pp.238-262. ⟨10.1016/j.isprsjprs.2021.05.004⟩
ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, 2021, 177 (July), pp.238-262. ⟨10.1016/j.isprsjprs.2021.05.004⟩
Semantic segmentation is an essential part of deep learning. In recent years, with the development of remote sensing big data, semantic segmentation has been increasingly used in remote sensing. Deep convolutional neural networks (DCNNs) face the cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e53a1161b71309417bac3595ae60cc08
https://doi.org/10.1016/j.isprsjprs.2021.05.004
https://doi.org/10.1016/j.isprsjprs.2021.05.004
Autor:
Zhengchao Chen, Kaixuan Lu, Lianru Gao, Baipeng Li, Jianwei Gao, Xuan Yang, Mufeng Yao, Bing Zhang
Publikováno v:
Remote Sensing, Vol 11, Iss 11, p 1377 (2019)
Object detection is facing various challenges as an important aspect in the field of remote sensing—especially in large scenes due to the increase of satellite image resolution and the complexity of land covers. Because of the diversity of the appe
Externí odkaz:
https://doaj.org/article/520e10012ac94082919a4eeb24aa2614
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811539466
The land-use mapping of Beijing-Tianjin-Hebei region (Jingjinji) covers an area of over 200,000 km2. Faced with a large number of objects in tiny size, which is quite difficult for land-use mapping, the land-use mapping of Jingjinji requires a certai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8774aad47b0ca13282d7ebe6b3c44c69
https://doi.org/10.1007/978-981-15-3947-3_16
https://doi.org/10.1007/978-981-15-3947-3_16
Publikováno v:
E3S Web of Conferences, Vol 206, p 02015 (2020)
Ensuring food security is a long-term and arduous task. Timely and accurate grasp of grain production capacity information can provide favourable data support for the nation to formulate macroeconomic plans and food policies. With the development of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89b49d91325f2f4ce37649e9dffa229b
https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/66/e3sconf_icgec2020_02015.pdf
https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/66/e3sconf_icgec2020_02015.pdf
Publikováno v:
IGARSS
The land-use map is an important data that can reflect the use and transformation of human land, and can provide valuable reference for land-use planning. For the traditional image classification method, producing a high spatial resolution (HSR), lan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08d0f0c7218ec9fb7372a2e86a596859
Publikováno v:
Remote Sensing, Vol 12, Iss 2626, p 2626 (2020)
Remote Sensing
Volume 12
Issue 16
Pages: 2626
Remote Sensing
Volume 12
Issue 16
Pages: 2626
The timely and accurate mapping and monitoring of mine tailings dams is crucial to the improvement of management practices by decision makers and to the prevention of disasters caused by failures of these dams. Due to the complex topography, varying
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a2ac7b4f6ce299124c919f2e5e896fd
https://doi.org/10.3390/rs12162626
https://doi.org/10.3390/rs12162626