Quantitative evaluation of variations in rule-based classifications of land cover in urban neighbourhoods using WorldView-2 imagery

被引：83

作者：

Belgiu, Mariana ^{[1
]}

Dragut, Lucian ^{[2
]}

Strobl, Josef ^{[1
]}

机构：

[1] Salzburg Univ, Dept Geoinformat Z GIS, A-5020 Salzburg, Austria

[2] West Univ Timisoara, Dept Geog, Timisoara 300223, Romania

来源：

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING | 2014年 / 87卷

基金：

奥地利科学基金会;

关键词：

Land Cover; Comparison; Image; Accuracy; Urban; Experiment; OBIA; DIFFERENCE WATER INDEX; OBJECT-BASED ANALYSIS; SEGMENTATION; NDWI; MULTIRESOLUTION; EXTRACTION; PARAMETER; ACCURACY; IKONOS; SCALE;

D O I：

10.1016/j.isprsjprs.2013.11.007

中图分类号：

P9 [自然地理学];

学科分类号：

0705 ; 070501 ;

摘要：

The increasing availability of high resolution imagery has triggered the need for automated image analysis techniques, with reduced human intervention and reproducible analysis procedures. The knowledge gained in the past might be of use to achieving this goal, if systematically organized into libraries which would guide the image analysis procedure. In this study we aimed at evaluating the variability of digital classifications carried out by three experts who were all assigned the same interpretation task. Besides the three classifications performed by independent operators, we developed an additional rule-based classification that relied on the image classifications best practices found in the literature, and used it as a surrogate for libraries of object characteristics. The results showed statistically significant differences among all operators who classified the same reference imagery. The classifications carried out by the experts achieved satisfactory results when transferred to another area for extracting the same classes of interest, without modification of the developed rules. (C) 2013 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS) Published by Elsevier B.V. All rights reserved.

引用

页码：205 / 215

页数：11

共 63 条

[21] A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery
Duro, Dennis C.
Franklin, Steven E.
Dube, Monique G.
[J]. REMOTE SENSING OF ENVIRONMENT, 2012, 118 : 259 - 272
[22] Edwards G, 1996, PHOTOGRAMM ENG REM S, V62, P377
[23] Thematic map comparison: Evaluating the statistical significance of differences in classification accuracy
Foody, GM
[J]. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2004, 70 (05) : 627 - 633
[24] NDWI - A normalized difference water index for remote sensing of vegetation liquid water from space
Gao, BC
[J]. REMOTE SENSING OF ENVIRONMENT, 1996, 58 (03) : 257 - 266
[25] Optimal region growing segmentation and its effect on classification accuracy
Gao, Yan
Francois Mas, Jean
Kerle, Norman
Navarrete Pacheco, Jose Antonio
[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2011, 32 (13) : 3747 - 3763
[26] IKONOS imagery for resource management: Tree cover, impervious surfaces, and riparian buffer analyses in the mid-Atlantic region
Goetz, SJ
Wright, RK
Smith, AJ
Zinecker, E
Schaub, E
[J]. REMOTE SENSING OF ENVIRONMENT, 2003, 88 (1-2) : 195 - 208
[27] STATISTICAL AND STRUCTURAL APPROACHES TO TEXTURE
HARALICK, RM
[J]. PROCEEDINGS OF THE IEEE, 1979, 67 (05) : 786 - 804
[28] Hay G.J., 2008, Remote Sensing Applications, P75, DOI DOI 10.1007/978-3-540-77058-9_4
[29] Some challenges in global land cover mapping: An assessment of agreement and accuracy in existing 1 km datasets
Herold, M.
Mayaux, P.
Woodcock, C. E.
Baccini, A.
Schmullius, C.
[J]. REMOTE SENSING OF ENVIRONMENT, 2008, 112 (05) : 2538 - 2556
[30] Spectral resolution requirements for mapping urban areas
Herold, M
Gardner, ME
Roberts, DA
[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2003, 41 (09): : 1907 - 1919

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