XXII ISPRS Congress 2012: Technical Commission VII

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Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663821976

Title:: Technical Commission VII

Scope:: 546 Seiten

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663821976

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B7)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VII/4: METHODS FOR LAND COVER CLASSIFICATION]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: POST-CLASSIFICATION APPROACH BASED ON GEOSTATISTICS TO REMOTE SENSING IMAGES : SPECTRAL AND SPATIAL INFORMATION FUSION N. Yao, J. X. Zhang, Z. J. Lin, C. F. Ren

Document type:: Multivolume work

Structure type:: Chapter

ial ng ng he ial ns pa ith int ng nd he nd re. ler ity he he he ng he he ter he ly, les K CS International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 XXII ISPRS Congress, 25 August - 01 September 2012, Melbourne, Australia SK Cokriging Class Variogram Variogr am of Marlogram of Covariogram primary variable secondary variable Open water 0.0007 Sph(30) 0.001 Sph(30) 0.0003 Sph(30) 0.0003 Sph(30) Forest 0.046 Exp(21) 0.044 Exp(58) 0.011 Exp(60) 0.005 Gau(250) Grassland/Shrub 0.012 Gau(37) 0.122 Exp(44) 0.018 Sph(50) 0.008 Exp(100) Barren/Sand 0.130 Gau(53) 0.130 Exp(80) 0.011 Gau(65) 0.005 Gau(180) Cropland 0.056 Gau(90) 0.056 Exp(430) 0.0009 Exp(75) 0.0002 Exp(100) Wetland 0.019 Exp(92) 0.019 Gau(100) 0.001 Gau(200) 0.0007 Gau(100) Table 1. Variograms and covariograms of SK and cokriging Method SVM Classifie Cokriging Simple Kriging with Local Mean Class Producer’s User’s Producer’s User’s Producer’s User's Accuray Accuray Accuracy Accuracy Accuracy Accuracy Open water 37.29 53.14 24.41 48.65 31.86 50.81 Forest 78.95 84.17 76.52 81.59 71.95 83.12 Grassland/Shrub 57.36 66.33 58.86 64.91 61.29 64.47 Barren/Sand 91.96 74.51 86.25 82.76 87.53 81.82 Cropland 15.92 59.75 73.28 76.11 72.80 73.93 Wetland 10.32 41.80 35.98 20.51 27.16 54.83 Overall Accuracy 73.79 75.77 77.02 Kappa Coefficient 0.58 0.63 0.65 Table 2. Accuracy Assessment Indexes of SVM Classification and Two Kriging Methods (Accuracy Unit: %) a 1 a i iv v o a wv 2 x d i - i A A LA aay 4 ix A a A 4 & ^ * m A À a A | A A * i 2 * y A "i = à A f e LA = u 9 = = 2 a $ | ® = v ou t * z * + 77 Y | » P s A i x + + av : + Begg’ Eg d v AY a b S $ " #- Ha + e: Wee e ron +» a E alg ® ® | = = T T T : T 1 7 T T f ? EU 7 2 4 6 8 0 12 A 2 4 6 8 10. (2. 4 (a) Classified as non-farmland; revised as farmland (b) Classified as non-farmland; revised as farmland v v E vov $ sn qa i j S. o. 9 act P5. " Ea 7 Y \ i ® > Fon i { = * ÿ 2 PO ? & €. i } % rate wm / % x Ly = à i mi x: d f X / : j X v og X = B. - d 3 wo" v / v : 8 \ í bf 7 » +. s * f . ; tit o ; ; a % / 4 ! » + ¥ + Y *v v % i m mu ¥ w - * f à a x > $ 2 T T T T T T t ; n ç T ¥ : 2 4 8 8 We 42. M 2 4 6 8 1024. 14 (c) Classified as farmland; revised as farmland Figure 3. The Probabilities of the SVM Classifier and the SK Method (e.g., Farmland) On the whole, Figures 3(a)-(c) reflect the effect of the SK method, i.e., it utilizes the information of spatial distribution provided by training samples to improve the posterior probabilities pertaining to the target land cover type and accordingly reduce those pertaining to the confusing types. Take Figure 3(a) for example. Given the testing samples with (d) Classified as farmland; revised as non-farmland ground truth as farmland, the predicted posterior probabilities of farmland are less than those of other confusing types, which results in omission. However, after the residual corrections, the probabilities of farmland are improved with a relative probability decrease of other types, which may also be reflected by the producer’s accuracy in Table 2. In addition, as is shown

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