Multi-Source Remotely Sensed Data Combination: Projection Transformation Gap-Fill Procedure
Boloorani, Ali Darvishi
Erasmi, Stefan
Kappas, Martin
8, 7: 4429 - 4440
DOI: https://doi.org/10.3390/s8074429
Persistent URL: http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/6747
Persistent URL: http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/6747
Boloorani, Ali Darvishi; Erasmi, Stefan; Kappas, Martin, 2008: Multi-Source Remotely Sensed Data Combination: Projection Transformation Gap-Fill Procedure. In: Boloorani, Ali Darvishi; Erasmi, Stefan; Kappas, Martin (2008): Multi-Source Remotely Sensed Data Combination: Projection Transformation Gap-Fill Procedure, DOI: 10.3390/s8074429.
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In this work a new gap-fill technique entitled projection transformation has been
developed and used for filling missing parts of remotely sensed imagery. In general
techniques for filling missing areas of an image break down into three main categories:
first multi-source techniques that take advantages of other data sources (e.g. using cloud
free images to fabricate the cloudy areas of other images); the second ones that fabricate
the gap areas using non-gapped parts of an image itself, this group of techniques are
referred to as single-source gap-fill procedures; and the third group which applies methods
that are a combination of both mentioned techniques, therefore they are called hybrid gapfill
procedures. Here a new developed multi-source methodology called “projection
transformation for filling a simulated gapped area in Landsat7/ETM+ imagery” is
introduced. The auxiliary imagery for filling the gaps is an earlier obtained L7/ETM+
imagery. Quality of the technique was evaluated from three points of view: statistical
accuracy measuring, visual comparison, and post classification accuracy assessment. These
evaluation indicators are compared to the results obtained from a commonly used technique by the USGS, the Local Linear Histogram Matching (LLHM) [1]. Results show
the superiority of our technique over LLHM in almost all aspects of accuracy.
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- Geologie [930]