Intelligent Remote Sensing of Ecological Environment | Views : 0 下载量: 711 CSCD: 0
  • Export

  • Share

  • Collection

  • Album

    • Inversion of non-optical water quality parameters of hyperspectral remote sensing based on LBFGS- accelerated multi-layer perceptron network

    • In the field of water quality monitoring, experts have established a non optical characteristic water quality parameter inversion system based on the LBFGS-MLP model, providing a theoretical basis for evaluating the water conditions of urban rivers.
    • Vol. 28, Issue 11, Pages: 2970-2983(2024)   

      Received:07 December 2023

      Published:07 November 2024

    • DOI: 10.11834/jrs.20243509     

    移动端阅览

  • He R Y,Lyu Z J and Jia S. 2024. Inversion of non-optical water quality parameters of hyperspectral remote sensing based on LBFGS- accelerated multi-layer perceptron network. National Remote Sensing Bulletin, 28(11):2970-2983 DOI: 10.11834/jrs.20243509.
  •  
  •  
Alert me when the article has been cited
提交

相关作者

HE Ruyan 深圳大学 计算机与软件学院
LV Zijun 深圳大学 计算机与软件学院
JIA Sen 深圳大学 计算机与软件学院;自然资源部大湾区地理环境监测重点实验室;粤港澳智慧城市联合实验室
XU Jiajia 安徽农业大学 林学与园林学院;安徽农业大学 安徽省林木资源培育重点实验室
YU Lei 安徽农业大学 林学与园林学院;安徽农业大学 安徽省林木资源培育重点实验室
FU Genshen 安徽农业大学 林学与园林学院;安徽农业大学 安徽省林木资源培育重点实验室
YAN Lipeng 安徽农业大学 林学与园林学院;安徽农业大学 安徽省林木资源培育重点实验室
HUANG Qingfeng 安徽农业大学 林学与园林学院;安徽农业大学 安徽省林木资源培育重点实验室

相关机构

School of Forestry and Landscape Architecture, Anhui Agricultural University
Anhui Provincial Key Laboratory of Forest Resources and Silviculture, Anhui Agricultural University
College of Geomatic, Xi'an University of Science and Technology
Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences
University of Chinese Academy of Sciences
0