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CNN-Based Change De...
CNN-Based Change Detection Algorithm for Wavelength-Resolution SAR Images
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- Vinholi, João Gabriel (författare)
- Federal University of Santa Catarina, BRA
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- Silva, Danilo (författare)
- Federal University of Santa Catarina, BRA
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- Machado, Renato (författare)
- Blekinge Tekniska Högskola,Institutionen för matematik och naturvetenskap,Aeronaut Inst Technol ITA, BRA
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- Pettersson, Mats, 1966- (författare)
- Blekinge Tekniska Högskola,Institutionen för matematik och naturvetenskap
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers (IEEE), 2022
- 2022
- Engelska.
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Ingår i: IEEE Geoscience and Remote Sensing Letters. - : Institute of Electrical and Electronics Engineers (IEEE). - 1545-598X .- 1558-0571. ; 19
- Relaterad länk:
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https://doi.org/10.1...
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https://bth.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- This letter presents an incoherent change detectionalgorithm (CDA) for wavelength-resolution synthetic apertureradar (SAR) based on convolutional neural networks (CNNs).The proposed CDA includes a segmentation CNN, whichlocalizes potential changes, and a classification CNN, whichfurther analyzes these candidates to classify them as real changesor false alarms. Compared to state-of-the-art solutions on theCARABAS-II data set, the proposed CDA shows a significantimprovement in performance, achieving, in a particular setting,a detection probability of 99% at a false alarm rate of0.0833/km2
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Nyckelord
- Synthetic aperture radar
- Image segmentation
- Clustering algorithms
- Image resolution
- Prediction algorithms
- Performance evaluation
- Training
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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