Results 131 to 140 of about 13,257,208 (171)

Deep Learning-Based Fusion of Optical, Radar, and LiDAR Data for Advancing Land Monitoring. [PDF]

Sensors (Basel)
Li Y, Xiao X.
europepmc   +1 more source

Snowy Dove: An open-sourcetoolkit for pre- processing of Chinese Gaofen series data. [PDF]

PLoS One
Yuan D, Zhang L, Dong J, Fan C, Zhao X.
europepmc   +1 more source

Class-aware feature attention-based semantic segmentation on hyperspectral images. [PDF]

PLoS One
Sevugan P, Rudhrakoti V, Kim TH, Gunasekaran M, Purushotham S, Chinthaginjala R, Ahmad I, Kumar A.   +7 more
europepmc   +1 more source

Analysis of the integrated role of the Yangtze River Delta based on the industrial economic resilience of cities during COVID-19. [PDF]

Sci Rep
Jia C, Cao Z, Hu J, Wang X, Zhao L, Zhi J, Liu W, Zhang G, Ding S, Li Y, Lin L.   +10 more
europepmc   +1 more source

Landslide detection using multimodal data fusion and an improved Deeplabv3+ model. [PDF]

Sci Rep
Tuo W, Zeng J, Wu F, Wu W, Wang X, Zhao X.   +5 more
europepmc   +1 more source

Study on the extraction method of <i>Glycyrrhiza uralensis</i> Fisch. distribution area based on Gaofen-1 remote sensing imagery: a case study of Dengkou county. [PDF]

Front Plant Sci
Wei X, Zhao Z, Chen T, Zhang X, Sun S, Li M, Shi T.   +6 more
europepmc   +1 more source

Old-growth forest patches are widespread outside nature reserves in Southern China

Tong X, Xu Q, Yue Y, Wang K, Du H, Fensholt R, Li S, Xu X, Bai Y, Yang X, Gominski D, Ciais P, Chave J, Chen Z, Jepsen M, Igel C, Liu S, Qi X, Brandt M.   +18 more
europepmc   +1 more source

Lightweight Deep Learning Model, ConvNeXt-U: An Improved U-Net Network for Extracting Cropland in Complex Landscapes from Gaofen-2 Images. [PDF]

Sensors (Basel)
Liu S, Cao S, Lu X, Peng J, Ping L, Fan X, Teng F, Liu X.   +7 more
europepmc   +1 more source

SRCT: Structure-Preserving Method for Sub-Meter Remote Sensing Image Super-Resolution. [PDF]

Sensors (Basel)
Gao T, Zhang S, Yao W, Shang E, Yang J, Ma Y, Ma Y.   +6 more
europepmc   +1 more source

Application of hierarchical self-supervised contrastive learning in domain adaptation matching of multimodal remote sensing image. [PDF]

Sci Rep
Li Y, Luo Z, Zhu G, Chen T, Zhao H, Zhong C, Jin D, Dang Y, Yang F, Li X.   +9 more
europepmc   +1 more source