DocumentCode
143141
Title
Building heights estimation using ZY3 data — A case study of Shanghai, China
Author
Xiaoqin Wang ; Xiameng Yu ; Feilong Ling
Author_Institution
Spatial Inf. Res. Center of Fujian Province, Fuzhou Univ., Fuzhou, China
fYear
2014
fDate
13-18 July 2014
Firstpage
1749
Lastpage
1752
Abstract
The building heights and the heights´ distribution of a city are important aspects of urban remote sensing researches. Building heights are estimation from the shadow on Chinese No.3 resource satellite image (ZY3) in Pudong area of Shanghai, China. The morphological building/shadow indexes (MBI and MSI) derived from remotely sensed data and object-based information extraction methods are used to classify the building and its shadow. Based on the formula derived from the relationship among the sun, the satellite and the building, building heights are calculated. The most of the calculated building heights are reliable. Absolute errors below 3m are about 67.5%, the average relative error is 3.7%, the errors below 5% are about 73.7%. The proposed method could well achieve the building extraction and building heights estimation in high-resolution images.
Keywords
feature extraction; geophysical image processing; geophysical techniques; remote sensing; CHINA; Chinese resource satellite image; Pudong area; SHANGHAI; ZY3 data; building heights estimation; heights distribution; morphological building; object-based information extraction methods; remotely sensed data; shadow indexes; urban remote sensing; Buildings; Estimation; Indexes; Measurement uncertainty; Remote sensing; Satellites; Sun; Building height; ZY3 data; object-oriented method; shadow;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location
Quebec City, QC
Type
conf
DOI
10.1109/IGARSS.2014.6946790
Filename
6946790
Link To Document