Predicting groundwater potential assessment in water-deficient islands based on convolutional neural networks

Xu, HL; Yang, X; Wang, DQ; Hu, YH; Shi, Y; Cheng, ZJ; Liu, ZX; Lu, Z; Shi, L; Liang, ZY; Zhu, DT

Yang, X (通讯作者)，Natl Univ Def Technol, Coll Elect Countermeasures, Hefei 230037, Peoples R China.;Wang, DQ (通讯作者)，Army Engn Univ PLA, Def Engn Coll, Nanjing 210007, Peoples R China.;Yang, X (通讯作者)，State Key Lab Pulsed Power Laser, Hefei 230037, Peoples R China.;Yang, X (通讯作者)，Key Lab Elect Restrict Anhui Prov, Hefei 230037, Peoples R China.

EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES, 2022; 25 (4): 1013

Abstract

Due to the special hydrogeological features of the sea islands, the distribution of groundwater is difficult to assess. In order to improve the accura......

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