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 :
بازگشت