Spatial quality assessment of pan-sharpened high resolution satellite imagery based on an automatically estimated edge based metric

F.D. Javan*, Farhad Samadzadegan, Peter Reinartz

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

28 Citations (Scopus)

Abstract

Most of the existing pan-sharpening quality assessment methods consider only the spectral quality and there are just few investigations, which concentrate on spatial characteristics. Spatial quality of pan-sharpened images is vital in elaborating the capability of object extraction, identification, or reconstruction, especially regarding man-made objects and their application for large scale mapping in urban areas. This paper presents an Edge based image Fusion Metric (EFM) for spatial quality evaluation of pan-sharpening in high resolution satellite imagery. Considering Modulation Transfer Function (MTF) as a precise measurement of edge response, MTFs of pan-sharpened images are assessed and compared to those obtained from the original multispectral or panchromatic images. Spatial quality assessment of pan-sharpening is done by comparison of MTF curves of the pan-sharpened and reference images. The capability of the proposed method is evaluated by quality assessment of two different residential and industrial urban areas of WorldView-2 pan-sharpened images. Obtained results clearly show the wide spatial discrepancy in quality of Pan-sharpened images, resulting from different fusion methods, and confirm the need for spatial quality assessment of fused products. The results also prove the capability of the proposed EFM as a powerful tool for evaluation and comparison of different image fusion techniques and products.

Original languageEnglish
Pages (from-to)6539-6559
Number of pages21
JournalRemote sensing
Volume5
Issue number12
DOIs
Publication statusPublished - 3 Dec 2013
Externally publishedYes

Keywords

  • Edge-based
  • Fusion
  • High resolution satellite imagery
  • Pan-sharpening
  • Quality as assessment
  • ITC-CV

Fingerprint

Dive into the research topics of 'Spatial quality assessment of pan-sharpened high resolution satellite imagery based on an automatically estimated edge based metric'. Together they form a unique fingerprint.

Cite this