A Block Shuffle Network with Superpixel Optimization for Landsat Image Semantic Segmentation

Autor: Xuan Yang, Zhengchao Chen, Bing Zhang, Baipeng Li, Yongqing Bai, Pan Chen

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

Automatic Detection of Track and Fields in China from High-Resolution Satellite Images Using Multi-Scale-Fused Single Shot MultiBox Detector

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

An attention-fused network for semantic segmentation of very-high-resolution remote sensing imagery

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⟩

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

Farmland productivity estimation based on vegetation indexes from remote sensing data

Autor: Wenjing Cao, Baipeng Li, Shaoshuai Li

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

Detection of Tailings Dams Using High-Resolution Satellite Imagery and a Single Shot Multibox Detector in the Jing–Jin–Ji Region, China

Autor: Kaixuan Lu, Baipeng Li, Linlin Lu, Huadong Guo, Zhengchao Chen, Bing Zhang, Qingting Li

Publikováno v: Remote Sensing, Vol 12, Iss 2626, p 2626 (2020)
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