The presented morphostructural segmentation of the Alps and Western Carpathians uses physically based geomorphometric variables as input data and object-based image analysis as a procedure to delineate objects of interest. A previous suitability evaluation of simple object-based methodology showed its potential in recognition of morphostructural features. When segmenting the Western Carpathians, we moved towards a more specific object-based approach-a fusion of segmentation and classification at several hierarchical levels. Such an approach was evaluated as not necessary in the less contrasting terrain in the Alps, where only a simple segmentation was used for evaluation of its efficiency. Use of physically based geomorphometric variables as input data brought enhancement of subsequent morphotectonic interpretations. After the segmentations, an index of steady state (ISS) for the entire object levels and their parts was computed. This ISS was used to evaluate and compare the two study areas in terms of their geodynamic development. Similarities and differences in development of these relatively alike mountain ranges are interpreted.
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Natl Inst Space Res INPE, Remote Sensing Div, Sao Jose Dos Campos, SP, BrazilNatl Inst Space Res INPE, Remote Sensing Div, Sao Jose Dos Campos, SP, Brazil
Camargo, F. F.
;
Florenzano, T. G.
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Natl Inst Space Res INPE, Remote Sensing Div, Sao Jose Dos Campos, SP, BrazilNatl Inst Space Res INPE, Remote Sensing Div, Sao Jose Dos Campos, SP, Brazil
Florenzano, T. G.
;
de Almeida, C. M.
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Natl Inst Space Res INPE, Remote Sensing Div, Sao Jose Dos Campos, SP, BrazilNatl Inst Space Res INPE, Remote Sensing Div, Sao Jose Dos Campos, SP, Brazil
de Almeida, C. M.
;
de Oliveira, C. G.
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Natl Inst Space Res INPE, Remote Sensing Div, Sao Jose Dos Campos, SP, BrazilNatl Inst Space Res INPE, Remote Sensing Div, Sao Jose Dos Campos, SP, Brazil
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Penn State Univ, Dept Geosci, University Pk, PA 16802 USA
Penn State Univ, Earth & Environm Syst Inst, University Pk, PA 16802 USAPenn State Univ, Dept Geosci, University Pk, PA 16802 USA
DiBiase, Roman A.
;
Rossi, Matthew W.
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Univ Colorado, Earth Lab, Boulder, CO 80309 USAPenn State Univ, Dept Geosci, University Pk, PA 16802 USA
Rossi, Matthew W.
;
Neely, Alexander B.
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Penn State Univ, Dept Geosci, University Pk, PA 16802 USAPenn State Univ, Dept Geosci, University Pk, PA 16802 USA
机构:
Natl Inst Space Res INPE, Remote Sensing Div, Sao Jose Dos Campos, SP, BrazilNatl Inst Space Res INPE, Remote Sensing Div, Sao Jose Dos Campos, SP, Brazil
Camargo, F. F.
;
Florenzano, T. G.
论文数: 0引用数: 0
h-index: 0
机构:
Natl Inst Space Res INPE, Remote Sensing Div, Sao Jose Dos Campos, SP, BrazilNatl Inst Space Res INPE, Remote Sensing Div, Sao Jose Dos Campos, SP, Brazil
Florenzano, T. G.
;
de Almeida, C. M.
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h-index: 0
机构:
Natl Inst Space Res INPE, Remote Sensing Div, Sao Jose Dos Campos, SP, BrazilNatl Inst Space Res INPE, Remote Sensing Div, Sao Jose Dos Campos, SP, Brazil
de Almeida, C. M.
;
de Oliveira, C. G.
论文数: 0引用数: 0
h-index: 0
机构:
Natl Inst Space Res INPE, Remote Sensing Div, Sao Jose Dos Campos, SP, BrazilNatl Inst Space Res INPE, Remote Sensing Div, Sao Jose Dos Campos, SP, Brazil
机构:
Penn State Univ, Dept Geosci, University Pk, PA 16802 USA
Penn State Univ, Earth & Environm Syst Inst, University Pk, PA 16802 USAPenn State Univ, Dept Geosci, University Pk, PA 16802 USA
DiBiase, Roman A.
;
Rossi, Matthew W.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Colorado, Earth Lab, Boulder, CO 80309 USAPenn State Univ, Dept Geosci, University Pk, PA 16802 USA
Rossi, Matthew W.
;
Neely, Alexander B.
论文数: 0引用数: 0
h-index: 0
机构:
Penn State Univ, Dept Geosci, University Pk, PA 16802 USAPenn State Univ, Dept Geosci, University Pk, PA 16802 USA