URL: http://portal.igg.ac.mn/dataset/845891fc-fc93-46b6-9a61-15f845e0ded4/resource/221c44dc-6a4b-4ad3-b05c-6db7bc8b2d15/download/52.pdf

The aim of this study is to explore the performances of different data fusion techniques for the enhancement of urban features and evaluate the features obtained by the fusion techniques in terms of separation of urban land cover classes. For the fusion, different ordinary and advanced methods are used and the results are compared. Of these methods, the best result is obtained by the use of the wavelet-based fusion. Overall, the research indicates that multisource information can significantly improve the interpretation and analysis of the land surface features.


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Data last updated February 3, 2020
Metadata last updated February 3, 2020
Created February 3, 2020
Format application/pdf
License Creative Commons Attribution
created7 months ago
has viewsTrue
last modified7 months ago
on same domainTrue
package id845891fc-fc93-46b6-9a61-15f845e0ded4
revision id4a737764-aaff-46a6-b533-bb6eeb39327d
size248.8 KiB
url typeupload