Yu, Q.[Qian],
Gong, P.[Peng],
Clinton, N.[Nick],
Biging, G.[Greg],
Kelly, M.[Maggi],
Schirokauer, D.[Dave],
Object-based Detailed Vegetation Classification with Airborne High
Spatial Resolution Remote Sensing Imagery,
PhEngRS(72), No. 7, July 2006, pp. 799-812.
WWW Link.
0610
Object-based classification applied in vegetation mapping at alliance level
with 1-meter resolution airborne imagery compared with conventional
pixel-based classification.
BibRef
Yu, Q.[Qian],
Gong, P.[Peng],
Tian, Y.Q.[Yong Q.],
Pu, R.L.[Rui-Liang],
Yang, J.[Jun],
Factors Affecting Spatial Variation of Classification Uncertainty in an
Image Object-based Vegetation Mapping,
PhEngRS(74), No. 8, August 2008, pp. 1007-1018.
WWW Link.
0804
A mixed linear model to examine the effect of six categories of
factors on classification uncertainty in an object-based vegetation
mapping, including general membership, topography, sample object
density, spatial composition, sample object reliability and object
features.
BibRef
Rizvi, I.A.,
Mohan, B.K.,
Object-Based Image Analysis of High-Resolution Satellite Images Using
Modified Cloud Basis Function Neural Network and Probabilistic
Relaxation Labeling Process,
GeoRS(49), No. 12, December 2011, pp. 4815-4820.
IEEE DOI
1201
Classification of objects, not just pixels.
BibRef
Xie, H.[Huan],
Heipke, C.[Christian],
Lohmann, P.[Peter],
Soergel, U.[Uwe],
Tong, X.H.[Xiao-Hua],
Shi, W.Z.[Wen-Zhong],
A New Binary Encoding Algorithm for the Simultaneous Region-based
Classification of Hyperspectral Data and Digital Surface Models,
PFG(2011), No. 1, 2011, pp. 17-33.
WWW Link.
1211
BibRef
Huth, J.,
Kuenzer, C.,
Wehrmann, T.,
Gebhardt, S.,
Tuan, V.,
Dech, S.,
Land Cover and Land Use Classification with TWOPAC: towards Automated
Processing for Pixel- and Object-Based Image Classification,
RS(4), No. 9, September 2012, pp. 2530-2553.
DOI Link
1210
BibRef
Wolf, N.[Nils],
Feature Evaluation for a Transferable Approach of Object-based Land
Cover Classification Based on Ikonos and QuickBird Satellite Data,
PFG(2011), No. 3, 2011, pp. 135-144.
WWW Link.
1211
BibRef
Wolf, N.[Nils],
Object Features for Pixel-based Classi cation of Urban Areas Comparing
Different Machine Learning Algorithms,
PFG(2013), No. 3, 2013, pp. 149-161.
DOI Link
1306
BibRef
Tang, H.,
Shen, L.,
Qi, Y.,
Chen, Y.,
Shu, Y.,
Li, J.,
Clausi, D.A.,
A Multiscale Latent Dirichlet Allocation Model for Object-Oriented
Clustering of VHR Panchromatic Satellite Images,
GeoRS(51), No. 3, March 2013, pp. 1680-1692.
IEEE DOI
1303
semantic clustering of geo-objects.
BibRef
Hu, Q.[Qiong],
Wu, W.B.[Wen-Bin],
Xia, T.[Tian],
Yu, Q.Y.[Qiang-Yi],
Yang, P.[Peng],
Li, Z.G.[Zheng-Guo],
Song, Q.[Qian],
Exploring the Use of Google Earth Imagery and Object-Based Methods in
Land Use/Cover Mapping,
RS(5), No. 11, 2013, pp. 6026-6042.
DOI Link
1312
BibRef
Witharana, C.[Chandi],
Lynch, H.J.[Heather J.],
An Object-Based Image Analysis Approach for Detecting Penguin Guano
in very High Spatial Resolution Satellite Images,
RS(8), No. 5, 2016, pp. 375.
DOI Link
1606
BibRef
Wang, M.[Min],
Cui, Q.[Qi],
Wang, J.[Jie],
Ming, D.P.[Dong-Ping],
Lv, G.[Guonian],
Raft cultivation area extraction from high resolution remote sensing
imagery by fusing multi-scale region-line primitive association
features,
PandRS(123), No. 1, 2017, pp. 104-113.
Elsevier DOI
1612
Region-line primitive association framework. Separate from water.
BibRef
Wang, M.[Min],
Cui, Q.[Qi],
Sun, Y.[Yujie],
Wang, Q.[Qiao],
Photovoltaic panel extraction from very high-resolution aerial
imagery using region-line primitive association analysis and template
matching,
PandRS(141), 2018, pp. 100-111.
Elsevier DOI
1806
Photovoltaic panel, Object-based image analysis,
Region-line primitive association framework,
High-resolution imagery
BibRef
Lv, Z.Y.[Zhi-Yong],
Shi, W.Z.[Wen-Zhong],
Benediktsson, J.A.[Jón Atli],
Ning, X.J.[Xiao-Juan],
Novel Object-Based Filter for Improving Land-Cover Classification of
Aerial Imagery with Very High Spatial Resolution,
RS(8), No. 12, 2016, pp. 1023.
DOI Link
1612
BibRef
Lv, Z.Y.[Zhi-Yong],
Shi, W.Z.[Wen-Zhong],
Zhou, X.C.[Xiao-Cheng],
Benediktsson, J.A.[Jón Atli],
Semi-Automatic System for Land Cover Change Detection Using
Bi-Temporal Remote Sensing Images,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link
1712
BibRef
Chen, X.[Xi],
Zhou, G.J.[Gong-Jian],
Chen, Y.S.[Yu-Shi],
Shao, G.F.[Guo-Fan],
Gu, Y.F.[Yan-Feng],
Supervised Multiview Feature Selection Exploring Homogeneity and
Heterogeneity With L_1,2-Norm and Automatic View Generation,
GeoRS(55), No. 4, April 2017, pp. 2074-2088.
IEEE DOI
1704
feature selection
BibRef
Lv, Z.Y.[Zhi-Yong],
Zhang, P.L.[Peng-Lin],
Benediktsson, J.A.[Jón Atli],
Automatic Object-Oriented, Spectral-Spatial Feature Extraction Driven
by Tobler's First Law of Geography for Very High Resolution Aerial
Imagery Classification,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link
1704
BibRef
Lu, L.[Lizhen],
Huang, Y.L.[Yan-Lin],
Di, L.P.[Li-Ping],
Hang, D.[Danwei],
A New Spatial Attraction Model for Improving Subpixel Land Cover
Classification,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link
1705
BibRef
Gu, H.Y.[Hai-Yan],
Li, H.T.[Hai-Tao],
Yan, L.[Li],
Liu, Z.J.[Zheng-Jun],
Blaschke, T.[Thomas],
Soergel, U.[Uwe],
An Object-Based Semantic Classification Method for High Resolution
Remote Sensing Imagery Using Ontology,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link
1705
BibRef
Yang, B.[Bin],
Liu, Z.J.[Zheng-Jun],
Xing, Y.[Ying],
Luo, C.F.[Cheng-Feng],
Remote Sensing Image Classification Based on Improved BP Neural Network,
ISIDF11(1-4).
IEEE DOI
1111
BibRef
Gerçek, D.[Deniz],
A Conceptual Model for Delineating Land Management Units (LMUs) Using
Geographical Object-Based Image Analysis,
IJGI(6), No. 6, 2017, pp. xx-yy.
DOI Link
1706
BibRef
Gerçek, D.[Deniz],
Zeydanl, U.[Ugur],
Object-Based Classification of Landscape into Land Management Units
(LMUs),
GEOBIA10(xx-yy).
PDF File.
1007
BibRef
Xu, Y.[Yan],
Du, Q.[Qian],
Li, W.[Wei],
Chen, C.[Chen],
Younan, N.H.[Nicolas H.],
Nonlinear Classification of Multispectral Imagery Using
Representation-Based Classifiers,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link
1708
BibRef
Zhang, X.L.[Xue-Liang],
Xiao, P.[Pengfeng],
Feng, X.Z.[Xue-Zhi],
Toward combining thematic information with hierarchical multiscale
segmentations using tree Markov random field model,
PandRS(131), No. 1, 2017, pp. 134-146.
Elsevier DOI
1709
High-spatial resolution remote sensing image
BibRef
Cheng, X.J.[Xiao-Juan],
Lu, J.W.[Ji-Wen],
Feng, J.J.[Jian-Jiang],
Yuan, B.[Bo],
Zhou, J.[Jie],
Scene recognition with objectness,
PR(74), No. 1, 2018, pp. 474-487.
Elsevier DOI
1711
Scene recognition
BibRef
Huang, Y.H.[Yao-Huan],
Zhao, C.P.[Chuan-Peng],
Yang, H.J.[Hai-Jun],
Song, X.Y.[Xiao-Yang],
Chen, J.[Jie],
Li, Z.H.[Zhong-Hua],
Feature Selection Solution with High Dimensionality and Low-Sample
Size for Land Cover Classification in Object-Based Image Analysis,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Balasubramaniam, R.,
Namboodiri, S.,
Nidamanuri, R.R.,
Gorthi, R.K.S.S.[R. K. S. S.],
Active Learning-Based Optimized Training Library Generation for
Object-Oriented Image Classification,
GeoRS(56), No. 1, January 2018, pp. 575-585.
IEEE DOI
1801
Databases, Detectors, Entropy, Hyperspectral imaging, Libraries,
Training, Active learning (AL), multiclassifier systems,
training library
BibRef
Yu, L.L.[Long-Long],
Su, J.[Jinhe],
Li, C.[Chun],
Wang, L.[Le],
Luo, Z.[Ze],
Yan, B.P.[Bao-Ping],
Improvement of Moderate Resolution Land Use and Land Cover
Classification by Introducing Adjacent Region Features,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Georganos, S.[Stefanos],
Lennert, M.[Moritz],
Grippa, T.[Tais],
Vanhuysse, S.[Sabine],
Johnson, B.[Brian],
Wolff, E.[Eléonore],
Normalization in Unsupervised Segmentation Parameter Optimization:
A Solution Based on Local Regression Trend Analysis,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Gong, X.[Xi],
Xie, Z.[Zhong],
Liu, Y.Y.[Yuan-Yuan],
Shi, X.[Xuguo],
Zheng, Z.[Zhuo],
Deep Salient Feature Based Anti-Noise Transfer Network for Scene
Classification of Remote Sensing Imagery,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link
1804
Find higher-level features for low quality data.
BibRef
Liu, T.[Tao],
Abd-Elrahman, A.[Amr],
An Object-Based Image Analysis Method for Enhancing Classification of
Land Covers Using Fully Convolutional Networks and Multi-View Images
of Small Unmanned Aerial System,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Qiu, S.H.[Shao-Hua],
Wen, G.[Gongjian],
Liu, J.[Jia],
Deng, Z.P.[Zhi-Peng],
Fan, Y.[Yaxiang],
Unified Partial Configuration Model Framework for Fast Partially
Occluded Object Detection in High-Resolution Remote Sensing Images,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Tang, Y.[Yunwei],
Zhang, J.[Jingxiong],
Jing, L.[Linhai],
Gao, H.[Han],
Geostatistical modelling of spatial dependence in area-class
occurrences for improved object-based classifications of
remote-sensing images,
PandRS(141), 2018, pp. 219-236.
Elsevier DOI
1806
GEOBIA, Geostatistics, Spatial structural modelling,
Change-of-support, Area-class, Image segmentation, Image classification
BibRef
Aguilar, R.[Rosa],
Zurita-Milla, R.[Raul],
Izquierdo-Verdiguier, E.[Emma],
A. de By, R.[Rolf],
A Cloud-Based Multi-Temporal Ensemble Classifier to Map Smallholder
Farming Systems,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link
1806
The regions are small. Worldview-2 images.
BibRef
Zeng, D.[Dan],
Chen, S.J.[Shuai-Jun],
Chen, B.Y.[Bo-Yang],
Li, S.Y.[Shu-Ying],
Improving Remote Sensing Scene Classification by Integrating
Global-Context and Local-Object Features,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link
1806
BibRef
Blaschke, T.,
Lang, S.,
Tiede, D.,
Papadakis, M.,
Györi, A.,
Object-based Image Analysis Beyond Remote Sensing:
The Human Perspective,
ISPRS16(B7: 879-882).
DOI Link
1610
BibRef
Kupidura, P.,
Osinska-Skotak, K.,
Pluto-Kossakowska, J.,
Automatic Approach to VHR Satellite Image Classification,
ISPRS16(B7: 277-282).
DOI Link
1610
Spectral and texture measures.
BibRef
Wu, L.[Linmei],
Shen, L.[Li],
Li, Z.P.[Zhi-Peng],
A Kernel Method Based On Topic Model For Very High Spatial Resolution
(VHSR) Remote Sensing Image Classification,
ISPRS16(B7: 399-403).
DOI Link
1610
BibRef
Cui, W.H.[Wei-Hong],
Wang, G.[Guofeng],
Feng, C.[Chenyi],
Zheng, Y.[Yiwei],
Li, J.[Jonathan],
Zhang, Y.[Yi],
SPMK and Grabcut Based Target Extraction From High Resolution Remote
Sensing Images,
ISPRS16(B7: 195-203).
DOI Link
1610
BibRef
Hingee, K.L.,
Statistics For Patch Observations,
ISPRS16(B6: 235-242).
DOI Link
1610
BibRef
Kamiya, K.,
Fuse, T.,
Takahashi, M.,
Applicability Evaluation Of Object Detection Method To Satellite And
Aerial Imageries,
ISPRS16(B7: 229-234).
DOI Link
1610
BibRef
Kavzoglu, T.,
Erdemir, M.Y.[M. Yildiz],
Tonbul, H.,
A Region-based Multi-scale Approach For Object-based Image Analysis,
ISPRS16(B7: 241-247).
DOI Link
1610
BibRef
Li, C.K.,
Fang, W.,
Dong, X.J.,
Research on the Classification of High Resolution Image Based on
Object-oriented and Class Rule,
IWIDF15(75-80).
DOI Link
1508
BibRef
Wang, G.,
Liu, J.,
He, G.,
Object-Based Land Cover Classification for ALOS Image Combining TM
Spectral,
SSG13(263-266).
DOI Link
1402
BibRef
Djerriri, K.,
Malki, M.,
Data Mining for Knowledge Discovery from Object-Based Segmentation of
VHR Remotely Sensed Imagery,
Hannover13(87-92).
DOI Link
1308
Region based analysis
BibRef
Firat, O.[Orhan],
Can, G.[Gulcan],
Vural, F.T.Y.[Fatos Tunay Yarman],
Representation Learning for Contextual Object and Region Detection in
Remote Sensing,
ICPR14(3708-3713)
IEEE DOI
1412
BibRef
And: A2, A1, Only:
Conditional Random Fields for Land Use/Land Cover Classification and
Complex Region Detection,
SSSPR12(216-224).
Springer DOI
1211
Airplanes
BibRef
Kanjir, U.,
Veljanovski, T.,
Marsetic, A.,
Otir, K.,
Application of Object Based Approach to Heterogeneous Land Cover/Use,
GEOBIA10(xx-yy).
PDF File.
1007
BibRef
Arroyo, L.A.[Lara A.],
Johansen, K.[Kasper],
Phinn, S.R.[Stuart R.],
Mapping Land Cover Types from Very High Spatial Resolution Imagery:
Automatic Application of an Object Based Classification Scheme,
GEOBIA10(xx-yy).
PDF File.
1007
BibRef
Lizarazo, I.[Ivan],
Fuzzy Image Regions for Quantitative Land Cover Analysis,
GEOBIA10(xx-yy).
WWW Link.
1007
BibRef
Malinverni, E.S.,
Tassetti, A.N.,
Bernardini, A.,
Automatic Land Use/Land Cover Classification System with Rules Based
Both on Objects Attributes and Landscape Indicators,
GEOBIA10(xx-yy).
PDF File.
1007
BibRef
Ons, G.[Ghariani],
Tebourbi, R.[Riadh],
Object oriented hierarchical classification of high resolution remote
sensing images,
ICIP09(1681-1684).
IEEE DOI
0911
BibRef
Yu, H.Y.[Hai-Yang],
Gan, F.P.[Fu-Ping],
Object recognition of high resolution remote sensing image based on
PSWT,
IASP09(52-56).
IEEE DOI
0904
BibRef
Argany, M.,
Amini, J.,
Artificial neural networks for improvement of classification accuracy
in Landsat ETM+ images,
OBIA06(xx-yy).
PDF File.
0607
BibRef
Jia, Z.,
Liu, X.,
Study and application of a multi-resolution hierarchy remote sensing
image classification,
OBIA06(xx-yy).
PDF File.
0607
BibRef
Corcoran, P.,
Winstanley, A.,
Using texture to tackle the problem of scale in land-cover
classification,
OBIA06(xx-yy).
PDF File.
0607
BibRef
Chmiel, J.,
Example of object based approach in land cover classification of VHR
satellite image for agricultural areas,
OBIA06(xx-yy).
PDF File.
0607
BibRef
Delenne, C.,
Rabatel, G.,
Agurto, V.,
Deshayes, M.,
Vine plot detection in aerial images using Fourier analysis,
OBIA06(xx-yy).
PDF File.
0607
BibRef
Tarantino, E.,
Caprioli, M.,
Multiscale representation of brownfield sites with IKONOS imagery,
OBIA06(xx-yy).
PDF File.
0607
BibRef
Preiner, M.,
Weinke, E.,
Lang, S.,
Two structure-related strategies for automatically delineating and
classifying habitats in an alpine environment,
OBIA06(xx-yy).
PDF File.
0607
BibRef
Urbanski, J.A.,
Using ArcGIS Model Builder for object-based image classification of
seagrass meadows,
OBIA06(xx-yy).
PDF File.
0607
BibRef
Carleer, A.P.,
Wolff, E.,
Region-based classification potential for land-cover classification
with very high spatial resolution satellite data,
OBIA06(xx-yy).
PDF File.
0607
BibRef
Kamagata, N.,
Hara, K.,
Mori, M.,
Akamatsu, Y.,
Li, Y.,
Hoshino, Y.,
A new method of vegetation mapping by object-based classification using
high resolution satellite data,
OBIA06(xx-yy).
PDF File.
0607
BibRef
Luscier, J.D.,
Thompson, W.L.,
Wilson, J.M.,
Gorham, B.E.,
Dragut, L.D.,
Using digital photographs and object-based image analysis to estimate
percent ground cover in vegetation plots,
OBIA06(xx-yy).
PDF File.
0607
BibRef
Müterthies, M.,
Buck, O.,
DeCOVER: Developing a methodology to update land cover data for public
authorities in Germany,
OBIA06(xx-yy).
PDF File.
0607
BibRef
Lück, W.,
An object oriented data model for a high end land cover classification
product,
OBIA06(xx-yy).
PDF File.
0607
BibRef
Lübker, T.,
Schaab, G.,
Optimization of Parameter Settings for Multilevel Image Segmentation in
GEOBIA,
HighRes09(xx-yy).
PDF File.
0906
GEOBIA: GEOgraphic Object-Based Image Analysis.
BibRef
Lübker, T.,
Schaab, G.,
A Work-Flow Design for Large-Area Multilevel Geobia:
Integrating Statistical Measures and Expert Knowledge,
GEOBIA10(xx-yy).
PDF File.
1007
BibRef
Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
LAI, Leaf Area Index, Land Cover Analysis .