Siamese-Like Convolutional Neural Network for Fine-Grained Income Estimation of Developed Economies

Siamese-Like Convolutional Neural Network for Fine-Grained Income Estimation of Developed Economies

Estimating the per-capita income and the household income at a fine-grained geographical scale is critical but challenging, even across the developed economies. In this article, a novel Siamese-like Convolutional Neural Network, integrating Ridge Regression and Gaussian Process Regression, has been...

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Bibliographic Details
Main Authors: Ruiqiao Bai, Jacqueline C. K. Lam, Victor O. K. Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Daytime satellite image
developed metropolis
fine-grained resolution
<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">GP-mixed-Siamese-like-double-ridge model</italic>
house price
household income
Online Access:https://ieeexplore.ieee.org/document/9178284/

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https://ieeexplore.ieee.org/document/9178284/

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