Remote sensing image analysis and prediction based on improved Pix2Pix model for water environment protection of smart cities

ABSTRACT:

Background

As an important part of smart cities, smart water environmental protection has become an important way to solve water environmental pollution problems. It is proposed in this article to develop a water quality remote sensing image analysis and prediction method based on the improved Pix2Pix (3D-GAN) model to overcome the problems associated with water environment prediction of smart cities based on remote sensing image data having low accuracy in predicting image information, as well as being difficult to train.

Methods

Firstly, due to inversion differences and weather conditions, water quality remote sensing images are not perfect, which leads to the creation of time series data that cannot be used directly in prediction modeling. Therefore, a method for prepr

SUBMITTER: Wang L 

PROVIDER: S-EPMC10280440 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature