1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 6qtX3pFwXQZeBBx/vRRVR |
Repository | sid.inpe.br/banon/2002/10.24.09.40 |
Last Update | 2002:09.03.03.00.00 (UTC) administrator |
Metadata Repository | sid.inpe.br/banon/2002/10.24.09.40.40 |
Metadata Last Update | 2022:06.14.00.11.49 (UTC) administrator |
DOI | 10.1109/SIBGRA.2002.1167128 |
Citation Key | VellosoSouz:2002:NoSmRe |
Title | Non-parametric smoothing for relative radiometric correction on remotely sensed data |
Year | 2002 |
Access Date | 2024, May 11 |
Number of Files | 1 |
Size | 1118 KiB |
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2. Context | |
Author | 1 Velloso, Maria Luiza F. 2 Souza, Flávio J. de |
Editor | Gonçalves, Luiz Marcos Garcia Musse, Soraia Raupp Comba, João Luiz Dihl Giraldi, Gilson Dreux, Marcelo |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 15 (SIBGRAPI) |
Conference Location | Fortaleza, CE, Brazil |
Date | 10-10 Oct. 2002 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
Organization | SBC - Brazilian Computer Society |
History (UTC) | 2008-07-17 14:10:46 :: administrator -> banon :: 2008-08-26 15:21:22 :: banon -> administrator :: 2009-08-13 20:36:39 :: administrator -> banon :: 2010-08-28 20:00:06 :: banon -> administrator :: 2022-06-14 00:11:49 :: administrator -> :: 2002 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Abstract | Digital change detection methods have been broadly divided into either pre-classification spectral change detection or post-classification change detection. Since all spectral change detection methods are based on pixel-wise plus operations or scene-wise plus pixel-wise operations, accuracy in image registration and scene-to-scene radiometric normalization is more critical for these methods than for other methods. A wide range of algorithms has been developed to adjust linear models. This paper proposes an automated radiometric normalization process that automatically extracts the training dataset and uses a non-parametric smoother to adjust a non-linear mapping to minimize the effects of the influences of radiometric differences on image interpretation and classification. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2002 > Non-parametric smoothing for... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Non-parametric smoothing for... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://sibgrapi.sid.inpe.br/ibi/6qtX3pFwXQZeBBx/vRRVR |
zipped data URL | http://sibgrapi.sid.inpe.br/zip/6qtX3pFwXQZeBBx/vRRVR |
Language | en |
Target File | 64.pdf |
User Group | administrator |
Visibility | shown |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPEW34M/46QCSHP 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.01.04.11 11 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Notes | The conference was held in Fortaleza, CE, Brazil, from October 7 to 10. |
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