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Remote Sensing Letters Volume 4, 2013 - Issue 2
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Original Articles

A neighbourhood-constrained k-means approach to classify very high spatial resolution hyperspectral imagery

Bing Zhang Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing, 100094, ChinaCorrespondence[email protected]
,
Shanshan Li Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing, 100094, China
,
Changshan Wu Department of Geography, University of Wisconsin–Milwaukee, Milwaukee, WI, 53201, USA
,
Lianru Gao Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing, 100094, China
,
Wenjuan Zhang Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing, 100094, China
&
Man Peng Institute of Remote sensing Applications, Chinese Academy of Sciences, Beijing, 100101, China
Pages 161-170 | Received 24 Apr 2012, Accepted 12 Jul 2012, Published online: 01 Aug 2012

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Dehe Yang, Jingguo Lv, Danlu Zhang, Jingfa Zhang & Jing Yuan. (2019) Extracting multi-features and optimizing feature space with sparse auto-encoder over WorldView-2 images. International Journal of Remote Sensing 40:16, pages 6418-6443.
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Anand Mehta & Onkar Dikshit. (2016) Projected clustering of hyperspectral imagery using region merging. Remote Sensing Letters 7:8, pages 721-730.
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A. C. S. Santos & H. Pedrini. (2016) A combination of k-means clustering and entropy filtering for band selection and classification in hyperspectral images. International Journal of Remote Sensing 37:13, pages 3005-3020.
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Anand Mehta & Onkar Dikshit. (2016) Comparative study on projected clustering methods for hyperspectral imagery classification. Geocarto International 31:3, pages 296-307.
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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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Articles from other publishers (14)

Ibrahim Onur Sigirci & Gokhan Bilgin. (2022) Spectral-Spatial Classification of Hyperspectral Images Using BERT-Based Methods With HyperSLIC Segment Embeddings. IEEE Access 10, pages 79152-79164.
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Han Zhai, Hongyan Zhang, Pingxiang Li & Liangpei Zhang. (2021) Hyperspectral Image Clustering: Current achievements and future lines. IEEE Geoscience and Remote Sensing Magazine 9:4, pages 35-67.
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Anjali Madhu, Anil Kumar & Peng Jia. (2021) Exploring Fuzzy Local Spatial Information Algorithms for Remote Sensing Image Classification. Remote Sensing 13:20, pages 4163.
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Vikash K. Mishra & Triloki Pant. (2021) Water level monitoring using classification techniques on Landsat‐8 data at Sangam region, Prayagraj, India. IET Image Processing 14:15, pages 3733-3741.
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Christoph Rasche. (2019) Fleckmentation: rapid segmentation using repeated 2‐means. IET Image Processing 13:11, pages 1940-1943.
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Baishou Li & Lu Yang. (2017) Clustering accuracy analysis of building area in high spatial resolution remote sensing images based on k-means algorithm. Clustering accuracy analysis of building area in high spatial resolution remote sensing images based on k-means algorithm.
Manel Ben Salem, Karim Saheb Ettabaa & Med Salim Bouhlel. (2016) Hyperspectral image feature selection for the fuzzy c-means spatial and spectral clustering. Hyperspectral image feature selection for the fuzzy c-means spatial and spectral clustering.
R. B. Arango, I. Díaz, A. Campos, E. R. Canas & E. F. Combarro. (2016) Automatic arable land detection with supervised machine learning. Earth Science Informatics 9:4, pages 535-545.
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D Chutia, D K Bhattacharyya, K K Sarma, R Kalita & S Sudhakar. (2016) Hyperspectral Remote Sensing Classifications: A Perspective Survey. Transactions in GIS 20:4, pages 463-490.
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Ricardo Dutra da Silva & Helio Pedrini. (2016) Hyperspectral data classification improved by minimum spanning forests. Journal of Applied Remote Sensing 10:2, pages 025007.
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Robin K. BISWAS, Atsuhiro YOROZUYA & Shinji EGASHIRA. (2016) MODIFIED GRADIENT BASED METHOD FOR MAPPING SANDBARS IN MEGA-SIZED BRAIDED RIVER USING MODIS IMAGE. Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) 72:4, pages I_931-I_936.
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Paulo Amorim, Thiago Moraes, Jorge Silva & Helio Pedrini. 2016. New Advances in Information Systems and Technologies. New Advances in Information Systems and Technologies 889 898 .
Baishou Li & Yujiu Gao. Research on the classification result and accuracy of building windows in high resolution satellite images: take the typical rural buildings in Guangxi, China, as an example. Research on the classification result and accuracy of building windows in high resolution satellite images: take the typical rural buildings in Guangxi, China, as an example.
Nihat Yilmaz, Onur Inan & Mustafa Serter Uzer. (2014) A New Data Preparation Method Based on Clustering Algorithms for Diagnosis Systems of Heart and Diabetes Diseases. Journal of Medical Systems 38:5.
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