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European Journal of Remote Sensing Volume 47, 2014 - Issue 1
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Original Articles

Hierarchical classification of complex landscape with VHR pan-sharpened satellite data and OBIA techniques

Marco GianinettoLaboratory of Remote Sensing (L@RS), Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, Via Ponzio 31, 20133, Milano, ItalyCorrespondence[email protected]
,
Marco RusminiERM Italia S.p.A., Via San Gregorio 38, 20124, Milano, Italy
,
Gabriele CandianiInstitute of Electromagnetic Sensing of Environment (IREA), Italian National Research Council (CNR), Via Bassini 15, 20133, Milano, Italy
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Giorgio Dalla ViaLaboratory of Remote Sensing (L@RS), Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, Via Ponzio 31, 20133, Milano, Italy
,
Federico FrassyLaboratory of Remote Sensing (L@RS), Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, Via Ponzio 31, 20133, Milano, Italy
,
Pieralberto MaiantiLaboratory of Remote Sensing (L@RS), Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, Via Ponzio 31, 20133, Milano, Italy
,
Andrea MarchesiLaboratory of Remote Sensing (L@RS), Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, Via Ponzio 31, 20133, Milano, Italy
,
Francesco Rota NodariLaboratory of Remote Sensing (L@RS), Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, Via Ponzio 31, 20133, Milano, Italy
&
Luigi DiniCosmo Sky Med-CIDOT Center for the Interpretation of Earth Observation Data, Italian Space Agency, Space Geodesy Center “G.Colombo”, C/da Terlecchia, c.p. 11, 75100, Matera, Italy
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Pages 229-250 | Received 19 Jul 2013, Accepted 24 Mar 2014, Published online: 17 Feb 2017

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Guang Xu, Xuan Zhu & Nigel Tapper. (2020) Using convolutional neural networks incorporating hierarchical active learning for target-searching in large-scale remote sensing images. International Journal of Remote Sensing 41:11, pages 4057-4079.
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Lv ZhiYong, WenZhong Shi, Jón Atli Benediktsson & LiPeng Gao. (2018) A modified mean filter for improving the classification performance of very high-resolution remote-sensing imagery. International Journal of Remote Sensing 39:3, pages 770-785.
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Haitao Zhang & Xinwen Cheng. (2016) Extraction of Change Information based on Multi-sequence Image Objects. European Journal of Remote Sensing 49:1, pages 465-487.
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Manuel A. Aguilar, Antonio Fernández, Fernando J. Aguilar, Francesco Bianconi & Andrés García Lorca. (2016) Classification of urban areas from GeoEye-1 imagery through texture features based on Histograms of Equivalent Patterns. European Journal of Remote Sensing 49:1, pages 93-120.
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Manuel A. Aguilar, María del Mar Saldaña, Fernando J. Aguilar & Andrés García Lorca. (2014) Comparing geometric and radiometric information from GeoEye-1 and WorldView-2 multispectral imagery. European Journal of Remote Sensing 47:1, pages 717-738.
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Miao Li, Shuying Zang, Bing Zhang, Shanshan Li & Changshan Wu. (2014) A Review of Remote Sensing Image Classification Techniques: the Role of Spatio-contextual Information. European Journal of Remote Sensing 47:1, pages 389-411.
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