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Application of spectral angle mapper Classification to Discriminate Hydrothermal Alteration in Southwest Birjand, Iran, Using Advanced Spaceborne Thermal Emission and Reflection Radiometer Image Processing

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Acta Geologica Sinica(English Edition) 2012年第5期86卷 1289-1296页

作者： Maryam ABDI Mohammd H. KARIMPOUR Department of Geology Ferdowsi University of Mashhad P.O. Box 91775-1436 Mashhad Iran Research Center for Ore Deposit of Eastern Iran Ferdowsi University of Mashhad Mashhad Iran

The purpose of this study is to evaluate the spectral angle mapper （SAM） classification method for determining the optimum threshold （maximum spectral angle） to unveil the hydrothermal mineral assemblages related to mineral deposits. The study area indicates good potential for Cu-Au porphyry, epithermal gold deposits and hydrothermal alteration well developed in arid and semiarid climates, which makes this region significant for Advanced Spaceborne Thermal Emission and Reflection Radiometer （ASTER） image processing analysis. Given that achieving an acceptable mineral mapping requires knowing the alteration patterns, petrochemistry and petrogenesis of the igneous rocks while considering the effect of weathering, overprinting of supergene alteration, overprinting of hypogene alteration and host rock spectral mixing, SAM classification was implemented for argillic, sericitic, propylitic, alunitization, silicification and iron oxide zones of six previously known mineral deposits： Maherabad, a Cu-Au porphyry system; Sheikhabad, an upper part of Cu-Au porphyry system; Khoonik, an Intrusion related Au system; Barmazid, a low sulfidation epithermal system; Khopik, a Cu-Au porphyry system; and Hanish, an epithermal Au system. Thus, the investigation showed that although the whole alteration zones are affected by mixing, it is also possible to produce a favorable hydrothermal mineral map by such complementary data as petrology, petrochemistry and alteration patterns.

关键词： hydrothermal alteration spectral angle mapper Advanced Spaceborne Thermal Emission and Reflection Radiometer image process Iran

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Evaluating pixel-based ***-based image analysis approaches for lithological discrimination using VNIR data of WorldView-3

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Frontiers of Earth Science 2021年第1期15卷 38-53页

作者： Samira SHAYEGANPOUR Majid H.TANGESTANI Saeid HOMAYOUNI Robert K.VINCENT Department of Earth Sciences Faculty of SciencesShiraz UniversityShiraz ***Iran Centre Eau Terre Environnement Insitut National de la Recherche ScientifiqueQuebec QCJ3X1S2Canada Department of Geography Bowling Green State UniversityOhio 43403-0001USA

The object-based against pixel-based image analysis approaches were assessed for lithological mapping in a geologically complex terrain using Visible Near Infrared(VNIR)bands of WorldView-3(WV-3)satellite *** study area is Hormuz Island,southern Iran,a salt dome composed of dominant sedimentary and igneous *** performing the object-based image analysis(OBLA)approach,the textural and spectral characteristics of lithological features were analyzed by the use of support vector machine(SVM)***,in the pixelbased image analysis(PBIA),the spectra of lithological end-members,extracted from imagery,were used through the spectral angle mapper(SAM)*** test samples were used in a confusion matrix to assess the accuracy of classification methods *** showed that OBIA was capable of lithological mapping with an overall accuracy of 86.54%which was 19.33%greater than the accuracy of *** also reduced the salt-and-pepper artifact pixels and produced a more realistic map with sharper lithological *** research showed limitations of pixel-based method due to relying merely on the spectral characteristics of rock types when applied to high-spatial-resolution VNIR bands of WorldView-3 *** is concluded that the application of an object-based image analysis approach obtains a more accurate lithological classification when compared to a pixel-based image analysis algorithm.

关键词： object-based image analysis pixel-based image analysis lithological mapping Worldview-3 Hormuz Island spectral angle mapper support vector machine

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Evaluation of diverse classification approaches for land use/cover mapping in a Mediterranean region utilizing Hyperion data

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International Journal of Digital Earth 2014年第3期7卷 194-216页

作者： Alata Elatawneh Chariton Kalaitzidis George P.Petropoulosc Thomas Schneider Institute of Forest Management Technische Universität Muünchen(TUM)85354 FreisingGermany Department of Geoinformation in Environmental Management Mediterranean Agronomic Institute of Chania(MAICh)Chania 73100Greece INFOCOSMOS 13341 AthensGreece

Information on Earth’s land surface cover is commonly obtained through digital image analysis of data acquired from remote sensing *** this study,we evaluated the use of diverse classification techniques in discriminating land use/cover types in a typical Mediterranean setting using Hyperion *** this purpose,the spectral angle mapper(SAM),the object-based and the non-linear spectral unmixing based on artificial neural networks(ANNs)techniques were applied.A further objective had been to investigate the effect of two approaches for training sites selection in the SAM classification,namely of the pixel purity index(PPI)and of the direct selection of training points from the Hyperion imagery assisted by a QuickBird imagery and field-based training *** classification outperformed the other techniques with an overall accuracy of 83%.Sub-pixel classification based on the ANN showed an overall accuracy of 52%,very close to that of SAM(48%).SAM applied using the training sites selected directly from the Hyperion imagery supported by the QuickBird image and the field visits returned an increase accuracy by 16%.Yet,all techniques appeared to suffer from the relatively low spatial resolution of the Hyperion imagery,which affected the spectral separation among the land use/cover classes.

关键词： Hyperion Earth’s land use/cover mapping digital image analysis spectral angle mapper sub-pixel classification artificial neural networks Greece

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Hydrothermal Alteration Mapping in Northern Khur, Iran, Using ASTER Image Processing: a New Insight to the Type of Copper Mineralization

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Acta Geologica Sinica(English Edition) 2013年第3期87卷 830-842页

作者： Azadeh Malekzadeh SHAFAROUDI Mohammad Hassan KARIMPOUR Research Center for Ore Deposit of Eastern Iran Ferdowsi University of Mashhad

Eastern Iran has great potential for the discovery of different types of mineralization. The study area encompasses Tertiary magmatism in the northern Lut block located in northern Khur, South Khorasan, eastern Iran and is mostly covered by volcanic rocks, which are intruded by porphyritic subvolcanic intrusions in some places. Application of the spectral angle mapper （SAM） technique to Advanced Spaceborne Thermal Emission and Reflection Radiometer （ASTER） images detected sericitic, argillic, and propylitic alterations, silicification, and secondary iron oxides. The alteration is linear and associated within vein-type mineralization. Twelve prospective areas are selected for detailed exploration and based on our processing results, in addition to NW-SE faults, which are associated with Cu mineralization indications, NE-SW faults are also shown to be important. Based on the presence of subvolcanic rocks and numerous Cu ± Pb-Zn vein-type mineralizations, extensive alteration, high anomaly of Cu and Zn （up to 100 ppm）, the age （43.6 to 31.4 Ma） and the initial $78r/S6Sr ratio （0.7047 to 0.7065） of the igneous rocks, and the metallogenic epoch of the Lut block （middle Eocene-lower Oligocene） for the formation of porphyry Cu and epithermal deposits, the studied area shows great potential for porphyry copper deposits.

关键词： Mineralization porphyry copper ASTER spectral angle mapper metallogenic epoch Iran

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Citrus black spot detection using hyperspectral imaging

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International Journal of Agricultural and Biological Engineering 2014年第6期7卷 20-27页

作者： Daegwan Kim Thomas F.Burks Mark A.Ritenour Jianwei Qin Asan Institute for Life Sciences Asan Medical CenterSongpa-guSeoul 138-736Korea Department of Agricultural&Biological Engineering University of FloridaGainesvilleFL 32611USA Indian River Research and Education Center(IRREC) University of FloridaFt.PierceFL 34945USA Environmental Microbial and Food Safety Laboratory(EMFSL) Agricultural Research ServiceU.S.Department of AgricultureBeltsvilleMD 20705USA

This paper describes the development of a hyperspectral imaging approach for identifying fruits infected with citrus black spot(CBS).Hyperspectral images were taken of healthy fruit and those with CBS symptoms or other potentially confounding peel conditions such as greasy spot,wind scar,or *** angle mapper(SAM)and spectral information divergence(SID)hyperspectral analysis approaches were used to classify fruit samples into two classes:CBS or *** classification accuracy for CBS with SAM approach was 97.90%,and 97.14% with *** combination of hyperspectral images and two classification approaches(SID and SAM)have proven to be effective in recognizing CBS in the presence of other potentially confounding fruit peel *** study result can be a reference for the non-destructive detection of fruits infected with citrus black spot.

关键词： citrus black spot hyperspectral imaging spectral angle mapper spectral information divergence imaging processing

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spectral separability of tropical forest tree species using airborne hyperspectral imager

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Journal of Environmental Science and Engineering 2009年第1期3卷 37-41页

作者： Kamaruzaman Jusoff Mohd Hasmadi Ismail Nurul Hidayah Mohd Ali Tropical Forest Airborne Observatory （TropAIR） Faculty of Forestry Universiti Putra Malaysia Serdan Selangor 43400 UPM Malaysia Department of Forest Production Faculty of Forestry Universiti Putra Malaysia Serdang Selangor 43400 UPM Malaysia

In Malaysia, airborne hyperspectral remote sensing is a relatively new technique used for research and commercial value in forest inventory and mapping. An advantage of airborne remote sensing, compared to satellite remote sensing, is its capability of offering a very high spatial resolution images. Thus, UPM-TropAIR AISA＇s airborne hyperspectral imagery that has been used in this study provides great quantity, better quality and also lower cost in identifying, quantifying and mapping of the Malaysian tropical timber forest resources. For the first stage in this study, the development of spectral library is deemed required in order for the spectral angle mapper （SAM） classification be used to separate and map individual tree species in a tropical mixed mountain forest of Gunong Stong Forest Reserve. Pre-processing, enhancement and interpretation of image were conducted using ENVI Version 4.0 software. Results indicated that a total of eight commercial timber tree species was identified and mapped in a study plot of 5 ha using the TropAIR airborne hyperspectral imager with the aid of ground truthings.

关键词： airborne hyperspectral spectral library spectral angle mapper

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