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International Journal of Remote Sensing Volume 37, 2016 - Issue 6
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Articles

Image segmentation for improved consistency in image-interpretation of opium poppy

Daniel M. SimmsCranfield University, Bedfordshire, UKView further author information
,
Toby W. WaineCranfield University, Bedfordshire, UKCorrespondence[email protected]
View further author information
,
John C. TaylorCranfield University, Bedfordshire, UKView further author information
&
Timothy R. BrewerCranfield University, Bedfordshire, UKView further author information
Pages 1243-1256 | Received 03 Oct 2015, Accepted 16 Jan 2016, Published online: 18 Feb 2016

Citations (7)

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Read on this site (2)

A. M. Hamer, D. M. Simms & T. W. Waine. (2021) Replacing human interpretation of agricultural land in Afghanistan with a deep convolutional neural network. International Journal of Remote Sensing 42:8, pages 3017-3038.
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Daniel M. Simms. (2020) Fully convolutional neural nets in-the-wild. Remote Sensing Letters 11:12, pages 1080-1089.
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Articles from other publishers (5)

Arogya Koirala, Suraj R Nair & Xiao Hui Tai. (2024) Mapping Opium Poppy Cultivation: Socioeconomic Insights from Satellite Imagery. ACM Journal on Computing and Sustainable Societies.
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Gabriel Tamariz, Karl S. Zimmerer & Carolynne Hultquist. (2023) Land-System Changes and Migration Amidst the Opium Poppy Collapse in the Southern Highlands of Oaxaca, Mexico (2016-2020). Human Ecology 51:2, pages 189-205.
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Sinan Demir & Levent Başayiğit. (2019) Determination of Opium Poppy (Papaver Somniferum) Parcels Using High-Resolution Satellite Imagery. Journal of the Indian Society of Remote Sensing 47:6, pages 977-987.
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Quan Wu, Min Liu, Juanying Sun, Weijie Jiao, Shuanghua Tao, Xiaochen Li, Xue Han & Lijuan Jia. 2019. Computer and Computing Technologies in Agriculture XI. Computer and Computing Technologies in Agriculture XI 24 30 .
Xiangyu Liu, Yichen Tian, Chao Yuan, Feifei Zhang & Guang Yang. (2018) Opium Poppy Detection Using Deep Learning. Remote Sensing 10:12, pages 1886.
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