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International Journal of Remote Sensing Volume 36, 2015 - Issue 11
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Articles

Fully spatially adaptive smoothing parameter estimation for Markov random field super-resolution mapping of remotely sensed images

H. AghighiSurveying and Geospatial Engineering, School of Civil and Environmental Engineering, The University of New South Wales, Sydney, NSW2052, Australia;Department of Remote Sensing & GIS, Faculty of Earth Science, Shahid Beheshti University, Tehran, IranCorrespondence[email protected]
,
J. TrinderSurveying and Geospatial Engineering, School of Civil and Environmental Engineering, The University of New South Wales, Sydney, NSW2052, Australia
,
S. LimSurveying and Geospatial Engineering, School of Civil and Environmental Engineering, The University of New South Wales, Sydney, NSW2052, Australia
&
Y. TarabalkaInria Sophia-Antipolis Méditerranée, TITANE Team, 06902Sophia Antipolis, France
Pages 2851-2879 | Received 06 Dec 2014, Accepted 19 Feb 2015, Published online: 01 Jun 2015

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Read on this site (2)

Yuan-Fong Su. (2019) Integrating a scale-invariant feature of fractal geometry into the Hopfield neural network for super-resolution mapping. International Journal of Remote Sensing 40:23, pages 8933-8954.
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Xiaodong Li, Yun Du, Feng Ling & Wenbo Li. (2016) Locally adaptive linear mixture model-based super-resolution land-cover mapping based on a structure tensor. International Journal of Remote Sensing 37:24, pages 5802-5825.
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Articles from other publishers (6)

Trishna Barman, Bhabesh Deka & Helal Uddin Mullah. (2023) Edge-Preserving Single Remote-Sensing Image Super-resolution Using Sparse Representations. SN Computer Science 4:3.
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Sumbal Bahar Saba, Muhammad Ali, Syed Ali Turab, Muhammad Waseem & Shah Faisal. (2022) Comparison of pixel, sub-pixel and object-based image analysis techniques for co-seismic landslides detection in seismically active area in Lesser Himalaya, Pakistan. Natural Hazards 115:3, pages 2383-2398.
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Yue Li, Lizhe Wang, Xinlong Liu, Qiannian Chu & Xiaohong Yang. (2022) A Review of Spatiotemporal Super-Resolution Mapping for Remote Sensing Data Fusion. IEEE Journal on Miniaturization for Air and Space Systems 3:1, pages 9-18.
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Zhenfeng Shao, Lei Wang, Zhongyuan Wang & Juan Deng. (2019) Remote Sensing Image Super-Resolution Using Sparse Representation and Coupled Sparse Autoencoder. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12:8, pages 2663-2674.
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Qingxiang Liu & John Trinder. (2016) Subpixel Mapping of Multispectral Images Using Markov Random Field With Graph Cut Optimization. IEEE Geoscience and Remote Sensing Letters 13:10, pages 1507-1511.
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Xiaodong Li, Feng Ling, Giles M. Foody & Yun Du. (2016) A Superresolution Land-Cover Change Detection Method Using Remotely Sensed Images With Different Spatial Resolutions. IEEE Transactions on Geoscience and Remote Sensing 54:7, pages 3822-3841.
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