Aug 10, 2022 · In this article, a novel impervious surface extraction method is proposed based on automatically generating training samples from multisource ...
The goals of this paper include the following: 1) propose a method that can automatically generate training samples with several feature types of ground objects ...
... Samples From Multisource Remote Sensing Products: A Case Study of Wuhan City, China ... method is proposed based on automatically generating training samples ...
was proposed based on automatically generating training samples from multisource remote sensing products (Liu et al., 2022a, Liu et al., 2022b). Machine ...
To address this issue, we explore a method to generate massive impervious surface training samples using points of interest (POIs) data and vehicle trajectory ...
This study systematically compared the performances of 12 methods of impervious surface extraction for four spatial resolution images (i.e. Landsat 8 [30 m], ...
Missing: Multisource | Show results with:Multisource
Accurate urban impervious surface (UIS) extraction from open-source remote sensing data remains challenging, especially for cities with heterogeneous ...
In this paper, a new method of automatic extraction of impervious surface based on deep learning and multi-source remote sensing data is proposed, using the ...
A Novel Impervious Surface Extraction Method Based on Automatically Generating Training Samples From Multisource Remote Sensing Products: A Case Study of Wuhan ...
Liu, A novel impervious surface extraction method based on automatically generating training samples from multisource remote sensing products: a case study ...