메뉴 건너뛰기




Volumn 8, Issue 10, 2016, Pages

Discrimination of settlement and industrial area using landscape metrics in rural region

Author keywords

Land use and land cover (LULC); Landscape metrics; Object based image analysis (OBIA); Rural settlement; Support vector machine (SVM); Very high resolution (VHR)

Indexed keywords

ENERGY MANAGEMENT; ENVIRONMENTAL MANAGEMENT; HOUSING; IMAGE ANALYSIS; IMAGE SEGMENTATION; LAND USE; MAPPING; RURAL AREAS; SUPPORT VECTOR MACHINES;

EID: 85019731188     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs8100845     Document Type: Article
Times cited : (20)

References (54)
  • 1
    • 0034655867 scopus 로고    scopus 로고
    • Global land cover classification at 1 km spatial resolution using a classification tree approach
    • Hansen, M.C.; DeFries, R.S.; Townshend, J.R.; Sohlberg, R. Global land cover classification at 1 km spatial resolution using a classification tree approach. Int. J. Remote Sens. 2000, 21, 1331-1364
    • (2000) Int. J. Remote Sens , vol.21 , pp. 1331-1364
    • Hansen, M.C.1    DeFries, R.S.2    Townshend, J.R.3    Sohlberg, R.4
  • 3
    • 84887153784 scopus 로고    scopus 로고
    • Exploring structural differences between rural and urban informal settlements from imagery: The basureros of Cobán
    • Owen, K.K.; Wong, D.W. Exploring structural differences between rural and urban informal settlements from imagery: The basureros of Cobán. Geocarto Int. 2013, 28, 562-581
    • (2013) Geocarto Int , vol.28 , pp. 562-581
    • Owen, K.K.1    Wong, D.W.2
  • 5
    • 84876726723 scopus 로고    scopus 로고
    • Change detection from remotely sensed images: From pixel-based to object-based approaches
    • Hussain, M.; Chen, D.; Cheng, A.; Wei, H.; Stanley, D. Change detection from remotely sensed images: From pixel-based to object-based approaches. ISPRS J. Photogramm. 2013, 80, 91-106
    • (2013) ISPRS J. Photogramm , vol.80 , pp. 91-106
    • Hussain, M.1    Chen, D.2    Cheng, A.3    Wei, H.4    Stanley, D.5
  • 6
    • 84894949232 scopus 로고    scopus 로고
    • Remote sensing for conservation monitoring: Assessing protected areas, habitat extent, habitat condition, species diversity, and threats
    • Nagendra, H.; Lucas, R.; Honrado, J.P.; Jongman, R.H.G.; Tarantino, C.; Adamo, M.; Mairota, P. Remote sensing for conservation monitoring: Assessing protected areas, habitat extent, habitat condition, species diversity, and threats. Ecol. Indic. 2013, 33, 45-59
    • (2013) Ecol. Indic , vol.33 , pp. 45-59
    • Nagendra, H.1    Lucas, R.2    Honrado, J.P.3    Jongman, R.H.G.4    Tarantino, C.5    Adamo, M.6    Mairota, P.7
  • 7
    • 84857403281 scopus 로고    scopus 로고
    • Urban morphology of unplanned settlements: The use of spatial metrics in VHR remotely sensed images
    • Kuffer, M.; Barrosb, J. Urban morphology of unplanned settlements: The use of spatial metrics in VHR remotely sensed images. Procedia Environ. Sci. 2011, 7, 152-157
    • (2011) Procedia Environ. Sci , vol.7 , pp. 152-157
    • Kuffer, M.1    Barrosb, J.2
  • 8
    • 84974801139 scopus 로고    scopus 로고
    • A comparison of machine learning algorithms for mapping of complex surface-mined and agricultural landscapes using ZiYuan-3 stereo satellite imagery
    • Li, X.; Chen, W.; Cheng, X.; Wang, L. A comparison of machine learning algorithms for mapping of complex surface-mined and agricultural landscapes using ZiYuan-3 stereo satellite imagery. Remote Sens. 2016, 8, 514
    • (2016) Remote Sens , vol.8 , pp. 514
    • Li, X.1    Chen, W.2    Cheng, X.3    Wang, L.4
  • 9
    • 73249139477 scopus 로고    scopus 로고
    • Object based image analysis for remote sensing
    • Blaschke, T. Object based image analysis for remote sensing. ISPRS J. Photogramm. Remote Sen. 2010, 65, 2-16
    • (2010) ISPRS J. Photogramm. Remote Sen , vol.65 , pp. 2-16
    • Blaschke, T.1
  • 11
    • 46249127021 scopus 로고    scopus 로고
    • Textural and local spatial statistics for the object-oriented classification of urban areas using high resolution imagery
    • Su,W.; Li, J.; Chen, Y.; Liu, Z.; Zhang, J.; Low, T.M.; Suppiah, I.; Hashim, S.A.M. Textural and local spatial statistics for the object-oriented classification of urban areas using high resolution imagery. Int. J. Remote Sens. 2008, 29, 3105-3117
    • (2008) Int. J. Remote Sens , vol.29 , pp. 3105-3117
    • Su, W.1    Li, J.2    Chen, Y.3    Liu, Z.4    Zhang, J.5    Low, T.M.6    Suppiah, I.7    Hashim, S.A.M.8
  • 12
    • 64549105242 scopus 로고    scopus 로고
    • A neural network approach using multi-scale textural metrics from very high-resolution panchromatic imagery for urban land-use classification
    • Pacifici, F.; Chini, M.; Emery, W.J. A neural network approach using multi-scale textural metrics from very high-resolution panchromatic imagery for urban land-use classification. Remote Sens. Environ. 2009, 113, 1276-1292
    • (2009) Remote Sens. Environ , vol.113 , pp. 1276-1292
    • Pacifici, F.1    Chini, M.2    Emery, W.J.3
  • 13
    • 78650715704 scopus 로고    scopus 로고
    • Study of land cover classification based on knowledge rules using high-resolution remote sensing images
    • Zhang, R.; Zhu, D. Study of land cover classification based on knowledge rules using high-resolution remote sensing images. Expert Syst. Appl. 2011, 38, 3647-3652
    • (2011) Expert Syst. Appl , vol.38 , pp. 3647-3652
    • Zhang, R.1    Zhu, D.2
  • 14
    • 84893969046 scopus 로고    scopus 로고
    • Object-based classification using SPOT-5 imagery for Moso bamboo forest mapping
    • Han, N.; Du, H.; Zhou, G.; Sun, X.; Ge, H.; Xu, X. Object-based classification using SPOT-5 imagery for Moso bamboo forest mapping. Int. J. Remote Sens. 2014, 35, 1126-1142
    • (2014) Int. J. Remote Sens , vol.35 , pp. 1126-1142
    • Han, N.1    Du, H.2    Zhou, G.3    Sun, X.4    Ge, H.5    Xu, X.6
  • 15
    • 70449451892 scopus 로고    scopus 로고
    • Integrative assessment of informal settlements using VHR remote sensing data-The Delhi case study
    • Niebergall, S.; Loew, A.; Mauser, W. Integrative assessment of informal settlements using VHR remote sensing data-The Delhi case study. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2008, 1, 193-205
    • (2008) IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens , vol.1 , pp. 193-205
    • Niebergall, S.1    Loew, A.2    Mauser, W.3
  • 16
    • 84907356160 scopus 로고    scopus 로고
    • The development of a morphological unplanned settlement index using very-high-resolution (VHR) imagery
    • Kuffer, M.; Barros, J.; Sliuzas, R.V. The development of a morphological unplanned settlement index using very-high-resolution (VHR) imagery. Comput. Environ. Urban Syst. 2014, 48, 138-152
    • (2014) Comput. Environ. Urban Syst , vol.48 , pp. 138-152
    • Kuffer, M.1    Barros, J.2    Sliuzas, R.V.3
  • 18
    • 84937115499 scopus 로고    scopus 로고
    • Exploring the synergistic use of multi-scale image object metrics for land-use/land-cover mapping using an object-based approach
    • Han, N.; Du, H.; Zhou, G.; Xu, X.; Ge, H.; Liu, L.; Gao, G.; Sun, S. Exploring the synergistic use of multi-scale image object metrics for land-use/land-cover mapping using an object-based approach. Int. J. Remote Sens. 2015, 36, 3544-3562
    • (2015) Int. J. Remote Sens , vol.36 , pp. 3544-3562
    • Han, N.1    Du, H.2    Zhou, G.3    Xu, X.4    Ge, H.5    Liu, L.6    Gao, G.7    Sun, S.8
  • 19
    • 84863258877 scopus 로고    scopus 로고
    • Integration of texture and landscape features into object-based classification for delineating Torreya using IKONOS imagery
    • Han, N.; Wang, K.; Yu, L.; Zhang, X. Integration of texture and landscape features into object-based classification for delineating Torreya using IKONOS imagery. Int. J. Remote Sens. 2012, 33, 2003-2033
    • (2012) Int. J. Remote Sens , vol.33 , pp. 2003-2033
    • Han, N.1    Wang, K.2    Yu, L.3    Zhang, X.4
  • 20
    • 80051889291 scopus 로고    scopus 로고
    • Texture-based identification of urban slums in Hyderabad, India using remote sensing data
    • Kit, O.; Lüdeke, M.; Reckien, D. Texture-based identification of urban slums in Hyderabad, India using remote sensing data. Appl. Geogr. 2012, 32, 660-667
    • (2012) Appl. Geogr , vol.32 , pp. 660-667
    • Kit, O.1    Lüdeke, M.2    Reckien, D.3
  • 21
    • 84924325062 scopus 로고    scopus 로고
    • Discrimination of residential and industrial buildings using LiDAR data and an effective spatial-neighbor algorithm in a typical urban industrial park
    • Ma, L. Discrimination of residential and industrial buildings using LiDAR data and an effective spatial-neighbor algorithm in a typical urban industrial park. Eur. J. Remote Sens. 2015, 48, 1-15
    • (2015) Eur. J. Remote Sens , vol.48 , pp. 1-15
    • Ma, L.1
  • 22
    • 84888063611 scopus 로고    scopus 로고
    • A comparison of spatial autocorrelation indices and landscape metrics in measuring urban landscape fragmentation
    • Fan, C.; Myint, S. A comparison of spatial autocorrelation indices and landscape metrics in measuring urban landscape fragmentation. Landsc. Urban Plan 2014, 121, 117-128
    • (2014) Landsc. Urban Plan , vol.121 , pp. 117-128
    • Fan, C.1    Myint, S.2
  • 25
    • 0033972121 scopus 로고    scopus 로고
    • Landscape division, splitting index, and effective mesh size: New measures of landscape fragmentation
    • Jaeger, J.A.G. Landscape division, splitting index, and effective mesh size: New measures of landscape fragmentation. Landsc. Ecol. 2000, 15, 115-130
    • (2000) Landsc. Ecol , vol.15 , pp. 115-130
    • Jaeger, J.A.G.1
  • 26
    • 85019763775 scopus 로고    scopus 로고
    • China Statistical Press: Beijing, China
    • Statistics Bureau of Tongxiang. Tongxiang Statistical Year Books; China Statistical Press: Beijing, China, 2012
    • (2012) Tongxiang Statistical Year Books
  • 28
    • 33745615125 scopus 로고    scopus 로고
    • Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery
    • Yu, Q.; Gong, P.; Clinton, N.; Biging, G.; Kelly, M.; Schirokauer, D. Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery. Photogramm. Eng. Remote Sens. 2006, 72, 799-811
    • (2006) Photogramm. Eng. Remote Sens , vol.72 , pp. 799-811
    • Yu, Q.1    Gong, P.2    Clinton, N.3    Biging, G.4    Kelly, M.5    Schirokauer, D.6
  • 29
    • 77956637110 scopus 로고    scopus 로고
    • Per-pixel and object-oriented classification methods for mapping urban features using IKONOS satellite data
    • Bhaskaran, S.; Paramananda, S.; Ramnarayan, M. Per-pixel and object-oriented classification methods for mapping urban features using IKONOS satellite data. Appl. Geogr. 2010, 30, 650-665
    • (2010) Appl. Geogr , vol.30 , pp. 650-665
    • Bhaskaran, S.1    Paramananda, S.2    Ramnarayan, M.3
  • 30
    • 0001812168 scopus 로고    scopus 로고
    • Multiresolution segmentation: An optimization approach for high quality multi-scale image segmentation
    • Baatz, M.; Schäpe, A. Multiresolution segmentation: An optimization approach for high quality multi-scale image segmentation. Angew. Geogr. Inf. Verarb. 2000, 58, 12-23
    • (2000) Angew. Geogr. Inf. Verarb , vol.58 , pp. 12-23
    • Baatz, M.1    Schäpe, A.2
  • 31
  • 32
    • 84891136260 scopus 로고    scopus 로고
    • Automated parameterisation for multi-scale image segmentation on multiple layers
    • Drăguţ, L.; Csillik, O.; Eisank, C.; Tiede, D. Automated parameterisation for multi-scale image segmentation on multiple layers. ISPRS J. Photogramm. Remote Sen. 2014, 88, 119-127
    • (2014) ISPRS J. Photogramm. Remote Sen , vol.88 , pp. 119-127
    • Drăguţ, L.1    Csillik, O.2    Eisank, C.3    Tiede, D.4
  • 33
    • 77951189897 scopus 로고    scopus 로고
    • ESP: A tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data
    • Dřaguţ, L.; Tiede, D.; Levick, S.R. ESP: A tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data. Int. J. Geogr. Inf. Sci. 2010, 24, 859-871
    • (2010) Int. J. Geogr. Inf. Sci , vol.24 , pp. 859-871
    • Dřaguţ, L.1    Tiede, D.2    Levick, S.R.3
  • 34
    • 84874772157 scopus 로고    scopus 로고
    • An Object-based approach for mapping shrub and tree cover on grassland habitats by use of LiDAR and CIR orthoimages
    • Hellesen, T.; Matikainen, L. An Object-based approach for mapping shrub and tree cover on grassland habitats by use of LiDAR and CIR orthoimages. Remote Sens. 2013, 5, 558-583
    • (2013) Remote Sens , vol.5 , pp. 558-583
    • Hellesen, T.1    Matikainen, L.2
  • 35
    • 84904909081 scopus 로고    scopus 로고
    • Comparing supervised and unsupervised multiresolution segmentation approaches for extracting buildings from very high resolution imagery
    • Belgiu, M.; Drăguţ, L. Comparing supervised and unsupervised multiresolution segmentation approaches for extracting buildings from very high resolution imagery. ISPRS J. Photogramm. Remote Sen. 2014, 96, 67-75
    • (2014) ISPRS J. Photogramm. Remote Sen , vol.96 , pp. 67-75
    • Belgiu, M.1    Drăguţ, L.2
  • 36
    • 79951950272 scopus 로고    scopus 로고
    • Support vector machines in remote sensing: A review
    • Mountrakis, G.; Im, J.; Ogole, C. Support vector machines in remote sensing: A review. ISPRS J. Photogramm. 2011, 66, 247-259
    • (2011) ISPRS J. Photogramm , vol.66 , pp. 247-259
    • Mountrakis, G.1    Im, J.2    Ogole, C.3
  • 37
    • 84856723719 scopus 로고    scopus 로고
    • An object-based classification of mangroves using a hybrid decision tree-Support vector machine approach
    • Heumann, B.W. An object-based classification of mangroves using a hybrid decision tree-Support vector machine approach. Remote Sens. 2011, 3, 2440-2460
    • (2011) Remote Sens , vol.3 , pp. 2440-2460
    • Heumann, B.W.1
  • 39
    • 79956300438 scopus 로고    scopus 로고
    • Object-based classification with features extracted by a semi-automatic feature extraction algorithm-SEaTH
    • Gao, Y.; Marpu, P.; Niemeyer, I.; Runfola, D.M.; Giner, N.M.; Hamill, T.; Pontius, R.G. Object-based classification with features extracted by a semi-automatic feature extraction algorithm-SEaTH. Geocarto Int. 2011, 26, 211-226
    • (2011) Geocarto Int , vol.26 , pp. 211-226
    • Gao, Y.1    Marpu, P.2    Niemeyer, I.3    Runfola, D.M.4    Giner, N.M.5    Hamill, T.6    Pontius, R.G.7
  • 40
    • 29144499905 scopus 로고    scopus 로고
    • Working set selection using second order information for training support vector machines
    • Fan, R.; Chen, P.; Lin, C. Working set selection using second order information for training support vector machines. J. Mach. Learn. Res. 2005, 6, 1889-1918
    • (2005) J. Mach. Learn. Res , vol.6 , pp. 1889-1918
    • Fan, R.1    Chen, P.2    Lin, C.3
  • 41
    • 84885365838 scopus 로고    scopus 로고
    • Identifying determinants of urban growth from a multi-scale perspective: A case study of the urban agglomeration around Hangzhou Bay, China
    • Zhang, Z.; Su, S.; Xiao, R.; Jiang, D.; Wu, J. Identifying determinants of urban growth from a multi-scale perspective: A case study of the urban agglomeration around Hangzhou Bay, China. Appl. Geogr. 2013, 45, 193-202
    • (2013) Appl. Geogr , vol.45 , pp. 193-202
    • Zhang, Z.1    Su, S.2    Xiao, R.3    Jiang, D.4    Wu, J.5
  • 42
    • 79960302640 scopus 로고    scopus 로고
    • Multi-scale analysis of spatially varying relationships between agricultural landscape patterns and urbanization using geographically weighted regression
    • Su, S.; Xiao, R.; Zhang, Y. Multi-scale analysis of spatially varying relationships between agricultural landscape patterns and urbanization using geographically weighted regression. Appl. Geogr. 2012, 32, 360-375
    • (2012) Appl. Geogr , vol.32 , pp. 360-375
    • Su, S.1    Xiao, R.2    Zhang, Y.3
  • 43
    • 41249085685 scopus 로고    scopus 로고
    • Analysis of lacunarity and scales of spatial homogeneity in IKONOS images of Amazonian tropical forest canopies
    • Malhi, Y.; Román-Cuesta, R.M. Analysis of lacunarity and scales of spatial homogeneity in IKONOS images of Amazonian tropical forest canopies. Remote Sens. Environ. 2008, 112, 2074-2087
    • (2008) Remote Sens. Environ , vol.112 , pp. 2074-2087
    • Malhi, Y.1    Román-Cuesta, R.M.2
  • 44
    • 0033731598 scopus 로고    scopus 로고
    • Test of a new lacunarity estimation method for image texture analysis
    • Dong, P. Test of a new lacunarity estimation method for image texture analysis. Int. J. Remote Sens. 2000, 21, 3369-3373
    • (2000) Int. J. Remote Sens , vol.21 , pp. 3369-3373
    • Dong, P.1
  • 45
    • 70249136080 scopus 로고    scopus 로고
    • Lacunarity analysis of raster datasets and 1D, 2D, and 3D point patterns
    • Dong, P. Lacunarity analysis of raster datasets and 1D, 2D, and 3D point patterns. Comput. Geosci. 2009, 35, 2100-2110
    • (2009) Comput. Geosci , vol.35 , pp. 2100-2110
    • Dong, P.1
  • 46
    • 0026278621 scopus 로고
    • A review of assessing the accuracy of classifications of remotely sensed data
    • Congalton, R.G. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sens. Environ. 1991, 37, 35-46
    • (1991) Remote Sens. Environ , vol.37 , pp. 35-46
    • Congalton, R.G.1
  • 47
    • 58649121972 scopus 로고    scopus 로고
    • Urban mapping, accuracy, & image classification: A comparison of multiple approaches in Tsukuba City, Japan
    • Thapa, R.B.; Murayama, Y. Urban mapping, accuracy, & image classification: A comparison of multiple approaches in Tsukuba City, Japan. Appl. Geogr. 2009, 29, 135-144
    • (2009) Appl. Geogr , vol.29 , pp. 135-144
    • Thapa, R.B.1    Murayama, Y.2
  • 48
    • 3042661357 scopus 로고    scopus 로고
    • Thematic map comparison: Evaluating the statistical significance of differences in classification accuracy
    • Foody, G.M. Thematic map comparison: Evaluating the statistical significance of differences in classification accuracy. Photogramm. Eng. Remote Sens. 2004, 70, 627-633
    • (2004) Photogramm. Eng. Remote Sens , vol.70 , pp. 627-633
    • Foody, G.M.1
  • 49
    • 84855458471 scopus 로고    scopus 로고
    • Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends
    • Weng, Q. Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends. Remote Sens. Environ. 2012, 117, 34-49
    • (2012) Remote Sens. Environ , vol.117 , pp. 34-49
    • Weng, Q.1
  • 50
    • 1042268376 scopus 로고    scopus 로고
    • Extending satellite remote sensing to local scales: Land and water resource monitoring using high-resolution imagery
    • Sawaya, K. Extending satellite remote sensing to local scales: Land and water resource monitoring using high-resolution imagery. Remote Sens. Environ. 2003, 88, 144-156
    • (2003) Remote Sens. Environ , vol.88 , pp. 144-156
    • Sawaya, K.1
  • 51
    • 33847335997 scopus 로고    scopus 로고
    • Modification of the effective mesh size for measuring landscape fragmentation to solve the boundary problem
    • Moser, B.; Jaeger, J.A.G.; Tappeiner, U.; Tasser, E.; Eiselt, B. Modification of the effective mesh size for measuring landscape fragmentation to solve the boundary problem. Landsc. Ecol. 2007, 22, 447-459
    • (2007) Landsc. Ecol , vol.22 , pp. 447-459
    • Moser, B.1    Jaeger, J.A.G.2    Tappeiner, U.3    Tasser, E.4    Eiselt, B.5
  • 52
    • 44349132055 scopus 로고    scopus 로고
    • Integration of landscape fragmentation analysis into regional planning: A statewide multi-scale case study from California, USA
    • Girvetz, E.H.; Thorne, J.H.; Berry, A.M.; Jaeger, J.A.G. Integration of landscape fragmentation analysis into regional planning: A statewide multi-scale case study from California, USA. Landsc. Urban Plan 2008, 86, 205-218
    • (2008) Landsc. Urban Plan , vol.86 , pp. 205-218
    • Girvetz, E.H.1    Thorne, J.H.2    Berry, A.M.3    Jaeger, J.A.G.4
  • 53
    • 84910026498 scopus 로고    scopus 로고
    • Deriving phenology of barley with imaging hyperspectral remote sensing
    • Lausch, A.; Salbach, C.; Schmidt, A.; Doktor, D.; Merbach, I.; Pause, M. Deriving phenology of barley with imaging hyperspectral remote sensing. Ecol. Model. 2015, 295, 123-135
    • (2015) Ecol. Model , vol.295 , pp. 123-135
    • Lausch, A.1    Salbach, C.2    Schmidt, A.3    Doktor, D.4    Merbach, I.5    Pause, M.6
  • 54
    • 79955702502 scopus 로고    scopus 로고
    • LIBSVM: A library for support vector machines
    • Chang, C.; Lin, C. LIBSVM: A library for support vector machines. Acm Trans. Intell. Syst. Technol. 2011, 2, 1-27
    • (2011) Acm Trans. Intell. Syst. Technol , vol.2 , pp. 1-27
    • Chang, C.1    Lin, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.