Based on the introduction to the characters and constructing flow of space semantic model, the feature space and context of house information in high resolution ...
Study on Urban House Information Extraction Automatically from Quick Bird Images based on Space Semantic Model. Abstract: Based on the introduction to the ...
Bibliographic details on Study on Urban House Information Extraction Automatically from Quick Bird Images based on Space Semantic Model.
From the perspective of semantic network model, this paper does research on the urban road extraction from high-resolution remote sensing images.
Missing: Study House
The green space information extraction is significant for study on urban remote sensing because of its ecological and socioeconomic functions.
Missing: House | Show results with:House
Another study used a semi-automatic algorithm to extract buildings from Quickbird images (Mayunga et al., 2005). Under that algorithm, a point is first selected ...
Furthermore, the accuracy and practicability of space semantic model are checked up through extracting house information automatically from Quick Bird image ...
Missing: Study | Show results with:Study
ABSTRACT. In this paper, we study efficient and reliable automatic extraction algorithm to find out the open space area from the high resolution urban ...
To overcome these challenges, we proposed a large-scale extraction framework for UISs based on semantic segmentation of high-resolution remote sensing images.
The final result suggests that the extraction method of decision tree can accurately get the green space information and the accurate rate is over 95%.
Missing: House Automatically