Please use this identifier to cite or link to this item:
http://hdl.handle.net/2122/1976
DC Field | Value | Language |
---|---|---|
dc.contributor.authorall | Cenedese, A.; Dipartimento di Idraulica, Trasporti e Strade (DITS), Università degli Studi di Roma «La Sapienza», Roma, Italy | en |
dc.contributor.authorall | Miozzi, M.; Dipartimento di Idraulica, Trasporti e Strade (DITS), Università degli Studi di Roma «La Sapienza», Roma, Italy | en |
dc.contributor.authorall | Benetazzo, A.; Dipartimento di Idraulica, Trasporti e Strade (DITS), Università degli Studi di Roma «La Sapienza», Roma, Italy | en |
dc.contributor.authorall | Paglialunga, A.; Superelectric sas, Tempio Pausania (SS), Italy | en |
dc.contributor.authorall | Daquino, C.; Agenzia per la Protezione dell’Ambiente e i Servizi Tecnici (APAT), Roma, Italy | en |
dc.contributor.authorall | Mussapi, R.; Agenzia per la Protezione dell’Ambiente e i Servizi Tecnici (APAT), Roma, Italy | en |
dc.date.accessioned | 2006-12-07T14:41:11Z | en |
dc.date.available | 2006-12-07T14:41:11Z | en |
dc.date.issued | 2006-02 | en |
dc.identifier.uri | http://hdl.handle.net/2122/1976 | en |
dc.description.abstract | This report describes the implementation of a hyperspectral proximal sensing low-budget acquisition system and its application to the detection of terrestrian vegetation cover anomalies in sites of high environmental quality. Anomalies can be due to stress for lack of water and/or pollution phenomena and weed presence in agricultural fields. The hyperspectral cube (90-bands ranging from 450 to 900 nm) was acquired from the hill near Segni (RM), approximately 500 m far from the target, by means of electronically tunable filters and 8 bit CCD cameras. Spectral libraries were built using both endmember identification method and extraction of centroids of the clusters obtained from a k-means analysis of the image itself. Two classification methods were applied on the hyperspectral cube: Spectral Angle Mapper (hard) and Mixed Tuned Matching Filters (MTMF). Results show the good capability of the system in detecting areas with an arboreal, shrub or leafage cover, distinguishing between zones with different spectral response. Better results were obtained using spectral library originated by the k-means method. The detected anomalies not correlated to seasonal phenomena suggest a ground true analysis to identify their origin. | en |
dc.format.extent | 3162748 bytes | en |
dc.format.mimetype | application/pdf | en |
dc.language.iso | English | en |
dc.relation.ispartofseries | 1/49 (2006) | en |
dc.subject | hyperspectral proximal sensing | en |
dc.subject | unable filters | en |
dc.subject | vegetation classification | en |
dc.title | Vegetation cover analysis using a low budget hyperspectral proximal sensing system | en |
dc.type | article | en |
dc.type.QualityControl | Peer-reviewed | en |
dc.subject.INGV | 04. Solid Earth::04.02. Exploration geophysics::04.02.05. Downhole, radioactivity, remote sensing, and other methods | en |
dc.subject.INGV | 05. General::05.09. Miscellaneous::05.09.99. General or miscellaneous | en |
dc.relation.references | ARRIGONI, O. (1973): Botanica Generale (Casa Editrice Ambrosiana, Milano), pp. 541. BOARDMAN, J.W., F.A. KRUSE and R.O. GREEN (1995): Mapping target signatures via partial unmixing of AVIRIS data, in Summaries of the V JPL Airborne Earth Science Worlshop, Pasadena, CA. CAMPBELL, J.B. (1996): Introduction to Remote Sensing (Taylor & Francis Ltd, London), 2nd edition. CARTER, G.A. (1993): Responses of leaf spectral reflectance to plant stress, Am. J. Botany, 80 (3), 239-243. DUDA, R.D. and P.E. HART (1973): Pattern Classification and Scene Analysis (John Wiley & Sons, New York), pp. 482. GREEN, A.A., M. BERMAN, P. SWITZER and M.D. CRAIG (1988): A transformation for ordering multispectral data in terms of image quality with implications for noise removal, IEEE Trans. Geosci. Remote Sensing, 26 (1), 65-74. HARSANYI, J.C. and C. CHANG (1994): Hyperspectral image Classification and dimensionality reduction: an Orthogonal subspace projection approach, IEEE Trans. Geosci. Remote Sensing, 32 (4), 779-785. KUMAR, L., K.S. SCHMIDT, S. DURY and A.K. SKIDMORE (2001): Review of hyperspectral remote sensing and vegetation science, in Hyperspectral Remote sensing, edited by F. VAN DER MEER (Kluwer Academic Press, Dordrecht). READY, P.J. and P.A. WINTS (1973): Information extraction, SNR improvement and data compression in multispectral imagery, IEEE Trans. Commun., COM-21, 10, 1123-1131. RSI (2001): ENVI User’s Guide (Research Systems, Inc.), vol. 1, pp. 435. SONY CORPORATION (1996): Sony XC-8500 CE Black-and- White Camera Module Operating Instructions (Sony Ed.), pp. 86. | en |
dc.description.journalType | JCR Journal | en |
dc.description.fulltext | open | en |
dc.contributor.author | Cenedese, A. | en |
dc.contributor.author | Miozzi, M. | en |
dc.contributor.author | Benetazzo, A. | en |
dc.contributor.author | Paglialunga, A. | en |
dc.contributor.author | Daquino, C. | en |
dc.contributor.author | Mussapi, R. | en |
dc.contributor.department | Dipartimento di Idraulica, Trasporti e Strade (DITS), Università degli Studi di Roma «La Sapienza», Roma, Italy | en |
dc.contributor.department | Dipartimento di Idraulica, Trasporti e Strade (DITS), Università degli Studi di Roma «La Sapienza», Roma, Italy | en |
dc.contributor.department | Dipartimento di Idraulica, Trasporti e Strade (DITS), Università degli Studi di Roma «La Sapienza», Roma, Italy | en |
dc.contributor.department | Superelectric sas, Tempio Pausania (SS), Italy | en |
dc.contributor.department | Agenzia per la Protezione dell’Ambiente e i Servizi Tecnici (APAT), Roma, Italy | en |
dc.contributor.department | Agenzia per la Protezione dell’Ambiente e i Servizi Tecnici (APAT), Roma, Italy | en |
item.openairetype | article | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
item.grantfulltext | open | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | With Fulltext | - |
crisitem.author.dept | Dipartimento di Idraulica, Trasporti e Strade (DITS), Università degli Studi di Roma «La Sapienza», Roma, Italy | - |
crisitem.author.dept | Dipartimento di Idraulica, Trasporti e Strade (DITS), Università degli Studi di Roma «La Sapienza», Roma, Italy | - |
crisitem.author.dept | Dipartimento di Idraulica, Trasporti e Strade (DITS), Università degli Studi di Roma «La Sapienza», Roma, Italy | - |
crisitem.author.dept | Superelectric sas, Tempio Pausania (SS), Italy | - |
crisitem.author.dept | Agenzia per la Protezione dell’Ambiente e i Servizi Tecnici (APAT), Roma, Italy | - |
crisitem.author.dept | Agenzia per la Protezione dell’Ambiente e i Servizi Tecnici (APAT), Roma, Italy | - |
crisitem.classification.parent | 04. Solid Earth | - |
crisitem.classification.parent | 05. General | - |
Appears in Collections: | Annals of Geophysics |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
22 Cenedese.pdf | 3.09 MB | Adobe PDF | View/Open |
Page view(s) 50
177
checked on Apr 17, 2024
Download(s) 20
393
checked on Apr 17, 2024