Erasmi, Stefan

[["dc.bibliographiccitation.firstpage","4429"],["dc.bibliographiccitation.issue","7"],["dc.bibliographiccitation.journal","Sensors"],["dc.bibliographiccitation.lastpage","4440"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Boloorani, Ali Darvishi"],["dc.contributor.author","Erasmi, Stefan"],["dc.contributor.author","Kappas, Martin"],["dc.date.accessioned","2018-11-07T11:13:49Z"],["dc.date.accessioned","2020-05-08T08:28:35Z"],["dc.date.accessioned","2020-05-11T13:17:32Z"],["dc.date.available","2018-11-07T11:13:49Z"],["dc.date.available","2020-05-08T08:28:35Z"],["dc.date.available","2020-05-11T13:17:32Z"],["dc.date.issued","2008"],["dc.description.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."],["dc.identifier.doi","10.3390/s8074429"],["dc.identifier.isi","000258180500025"],["dc.identifier.pmid","27879945"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/8776"],["dc.identifier.scopus","2-s2.0-48749126097"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65020"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-48749126097&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","1424-8220"],["dc.rights","CC BY 3.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/3.0/"],["dc.title","Multi-Source Remotely Sensed Data Combination: Projection Transformation Gap-Fill Procedure"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","681219"],["dc.bibliographiccitation.volume","6812"],["dc.contributor.author","Boloorani, Ali Darvishi"],["dc.contributor.author","Erasmi, Stefan"],["dc.contributor.author","Kappas, Martin"],["dc.contributor.editor","Astola, Jaakko T."],["dc.contributor.editor","Egiazarian, Karen O."],["dc.contributor.editor","Dougherty, Edward R."],["dc.date.accessioned","2020-05-11T09:21:44Z"],["dc.date.accessioned","2020-05-11T13:20:30Z"],["dc.date.available","2020-05-11T09:21:44Z"],["dc.date.available","2020-05-11T13:20:30Z"],["dc.date.issued","2008"],["dc.description.abstract","The Landsat-7 Enhanced Thematic Mapper Plus (ETM+) is the sensor payload on the Landsat-7 satellite imager (launched on April 15th, 1999) that is a derivative of the Landsat-4 and 5 Thematic Mapper (TM) land imager sensors. Scan Line Corrector (SLC) malfunctioning appeared onboard on May 31, 2003. The SLC-Off problem was caused by failure of the SLC which compensates for the forward motion of the satellite [1]. As ETM+ is still capable of acquiring images with the SLC-Off mode, the need of applying new techniques and using other data sources to reconstruct the missed data is a challenging for scientists and final users of remotely sensed images. One of the predicted future roles of the Advanced Land Imager (ALI) onboard the Earth Observer One (EO-1) is its ability to offer a potential technological direction for Landsat data continuity missions [2]. In this regard more than the purposes of the work as fabricating the gapped area in the ETM+ the attempt to evaluate the ALI imagery ability is another noticeable point in this work. In the literature there are several techniques and algorithms for gap filling. For instance local linear histogram matching [3], ordinary kriging, and standardized ordinary cokriging [4]. Here we used the Regression Based Data Combination (RBDC) in which it is generally supposed that two data sets (i.e. Landsat/ETM+ and EO-1/ALI) in the same spectral ranges (for instance band 3 ETM+ and band 4 ALI in 0.63 - 0.69 μm) will have meaningful and useable statistical characteristics. Using this relationship the gap area in ETM+ can be filled using EO-1/ALI data. Therefore the process is based on the knowledge of statistical structures of the images which is used to reconstruct the gapped areas. This paper presents and compares four regression based techniques. First two ordinary methods with no improvement in the statistical parameters were undertaken as Scene Based (SB) and Cluster Based (CB) followed by two statistically developed algorithms including Buffer Based (BB) and Weighted Buffer Based (WBB) techniques. All techniques are executed and evaluated over a study area in Sulawesi, Indonesia. The results indicate that the WBB and CB approaches have superiority over the SB and BB methods."],["dc.identifier.doi","10.1117/12.766866"],["dc.identifier.scopus","2-s2.0-43249105541"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/64988"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65032"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-43249105541&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.relation.conference","Electronic Imaging"],["dc.relation.eventend","2008-01-29"],["dc.relation.eventlocation","San Jose, California, United States"],["dc.relation.eventstart","2008-01-28"],["dc.relation.ispartof","Image Processing: Algorithms and Systems"],["dc.title","Multi source image reconstruction: Exploitation of EO-1/ALI in Landsat-7/ETM+ SLC-off gap filling"],["dc.type","conference_paper"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]