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Sensors 2008, 8(7), 4429-4440; doi:10.3390/s8074429
Article

Multi-Source Remotely Sensed Data Combination: Projection Transformation Gap-Fill Procedure

1,2,* , 3
 and 4
Received: 17 June 2008; in revised form: 20 July 2008 / Accepted: 25 July 2008 / Published: 29 July 2008
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Abstract: In this work a new gap-fill technique entitled projection transformation has been developed and used for filling missed parts of remotely sensed imagery. In general techniques for filling missed area of an image are broken down into three main categories: multi-source techniques that take the advantages of other data sources (e.g. using cloud free images to reconstruct the cloudy areas of other images); the second ones 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 third group contains methods that make up a combination of both mentioned techniques, therefore they are called hybrid gap-fill procedures. Here a new developed multi-source methodology called projection transformation for filling a simulated gapped area in the Landsat7/ETM+ imagery is introduced. The auxiliary imagery to filling the gaps is an earlier obtained L7/ETM+ imagery. Ability 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 as Local Linear Histogram Matching (LLHM) [1]. Results show the superiority of our technique over LLHM in almost all aspects of accuracy.
Keywords: remote sensing; gap-fill; data combination; Principal Component Transformation (PCT). remote sensing; gap-fill; data combination; Principal Component Transformation (PCT).
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Boloorani, A.D.; Erasmi, S.; Kappas, M. Multi-Source Remotely Sensed Data Combination: Projection Transformation Gap-Fill Procedure. Sensors 2008, 8, 4429-4440.

AMA Style

Boloorani AD, Erasmi S, Kappas M. Multi-Source Remotely Sensed Data Combination: Projection Transformation Gap-Fill Procedure. Sensors. 2008; 8(7):4429-4440.

Chicago/Turabian Style

Boloorani, Ali D.; Erasmi, Stefan; Kappas, Martin. 2008. "Multi-Source Remotely Sensed Data Combination: Projection Transformation Gap-Fill Procedure." Sensors 8, no. 7: 4429-4440.


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