Aguera, F.[Francisco],
Aguilar, F.J.[Fernando J.],
Aguilar, M.A.[Manuel A.],
Using texture analysis to improve per-pixel classification of very high
resolution images for mapping plastic greenhouses,
PandRS(63), No. 6, November 2008, pp. 635-646.
Elsevier DOI
0811
QuickBird; IKONOS; Texture; Land use
BibRef
Carvajal, F.,
Crisanto, E.,
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Aguilar, M.A.[Manuel A.],
Aguilar, F.J.[Fernando J.],
Agüera, F.[Francisco],
Assessing Geometric Reliability of Corrected Images from Very High
Resolution Satellites,
PhEngRS(74), No. 12, December 2008, pp. 1551-1560.
WWW Link.
0804
Validation of two theoretical models for estimating the reliability of
geometric accuracies measured as Root Mean Square Error over corrected
single images from QuickBird and Ikonos imagery.
BibRef
Aguilar, M.A.[Manuel A.],
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Lorca, A.G.[Andrés García],
Parente, C.[Claudio],
Object-Based Greenhouse Horticultural Crop Identification from
Multi-Temporal Satellite Imagery: A Case Study in Almeria, Spain,
RS(7), No. 6, 2015, pp. 7378.
DOI Link
1507
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Nemmaoui, A.[Abderrahim],
Aguilar, M.A.[Manuel A.],
Aguilar, F.J.[Fernando J.],
Novelli, A.[Antonio],
Lorca, A.G.[Andrés García],
Greenhouse Crop Identification from Multi-Temporal Multi-Sensor
Satellite Imagery Using Object-Based Approach:
A Case Study from Almería (Spain),
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link
1812
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Aguilar, M.,
Pozo, J.L.,
Aguilar, F.J.,
Gracia, A.M.,
Fernandez, I.,
Sanchez-Hermosilla, J.,
Negreiros, J.,
Application Of Close-range Photogrammetry And Digital Photography
Analysis For The Estimation Of Leaf Area Index In A Greenhouse Tomato
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CloseRange10(xx-yy).
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Aguilar, M.A.[Manuel A.],
Bianconi, F.[Francesco],
Aguilar, F.J.[Fernando J.],
Fernández, I.[Ismael],
Object-Based Greenhouse Classification from GeoEye-1 and WorldView-2
Stereo Imagery,
RS(6), No. 5, 2014, pp. 3554-3582.
DOI Link
1407
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Aguilar, M.A.[Manuel A.],
Nemmaoui, A.[Abderrahim],
Novelli, A.[Antonio],
Aguilar, F.J.[Fernando J.],
Lorca, A.G.[Andrés García],
Object-Based Greenhouse Mapping Using Very High Resolution Satellite
Data and Landsat 8 Time Series,
RS(8), No. 6, 2016, pp. 513.
DOI Link
1608
Finding particular kinds of buildings.
BibRef
Aguilar, M.A.,
Vicente, R.,
Aguilar, F.J.,
Fernández, A.,
Saldaña, M.M.,
Optimizing Object-based Classification In Urban Environments Using Very
High Resolution Geoeye-1 Imagery,
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Justus, F.[Faith],
Yu, D.[Danlin],
Spatial Distribution of Greenhouse Commercial Horticulture in Kenya
and the Role of Demographic, Infrastructure and Topo-Edaphic Factors,
IJGI(3), No. 1, 2014, pp. 274-296.
DOI Link
1404
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Aguilar, M.A.,
Aguilar, F.J.,
Lorca, A.G.[A. García],
Guirado, E.,
Betlej, M.,
Cichon, P.,
Nemmaoui, A.,
Vallario, A.,
Parente, C.,
Assessment Of Multiresolution Segmentation For Extracting Greenhouses
From Worldview-2 Imagery,
ISPRS16(B7: 145-152).
DOI Link
1610
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Yang, D.[Dedi],
Chen, J.[Jin],
Zhou, Y.[Yuan],
Chen, X.[Xiang],
Chen, X.H.[Xue-Hong],
Cao, X.[Xin],
Mapping plastic greenhouse with medium spatial resolution satellite
data: Development of a new spectral index,
PandRS(128), No. 1, 2017, pp. 47-60.
Elsevier DOI
1706
Medium, spatial, resolution, data
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Shi, T.Y.[Tian-Yang],
Xu, Q.[Qizhi],
Zou, Z.X.[Zheng-Xia],
Shi, Z.W.[Zhen-Wei],
Automatic Raft Labeling for Remote Sensing Images via Dual-Scale
Homogeneous Convolutional Neural Network,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link
1808
Aquatic farming.
(Not really greenhouses.)
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Yao, Y.[Yao],
Wang, S.[Shixin],
Evaluating the Effects of Image Texture Analysis on Plastic
Greenhouse Segments via Recognition of the OSI-USI-ETA-CEI Pattern,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link
1902
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Xiong, Y.[Yuankang],
Zhang, Q.[Qingling],
Chen, X.[Xi],
Bao, A.[Anming],
Zhang, J.[Jieyun],
Wang, Y.[Yujuan],
Large Scale Agricultural Plastic Mulch Detecting and Monitoring with
Multi-Source Remote Sensing Data: A Case Study in Xinjiang, China,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link
1909
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Yang, Q.[Qinchen],
Liu, M.[Man],
Zhang, Z.[Zhitao],
Yang, S.[Shuqin],
Ning, J.[Jifeng],
Han, W.[Wenting],
Mapping Plastic Mulched Farmland for High Resolution Images of
Unmanned Aerial Vehicle Using Deep Semantic Segmentation,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link
1909
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Cui, B.[Binge],
Fei, D.[Dong],
Shao, G.H.[Guang-Hui],
Lu, Y.[Yan],
Chu, J.L.[Jia-Lan],
Extracting Raft Aquaculture Areas from Remote Sensing Images via an
Improved U-Net with a PSE Structure,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link
1909
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Demir, N.,
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Oy, S.,
Post-hurricane Damage Assessment On Greenhouse Fields With Use Of Sar
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Coslu, M.,
Sonmez, N.K.,
Koc-San, D.,
Object-based Greenhouse Classification From High Resolution Satellite
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ISPRS16(B7: 183-187).
DOI Link
1610
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Koc-San, D.,
Sonmez, N.K.,
Plastic And Glass Greenhouses Detection And Delineation From
Worldview-2 Satellite Imagery,
ISPRS16(B7: 257-262).
DOI Link
1610
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Kang, J.M.,
Baek, S.H.,
Jung, K.Y.,
Analysis on the Utility of Satellite Imagery for Detection of
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DOI Link
1209
E.g. greenhouses.
BibRef
Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Classification for Crops, Analysis of Production, Specific Crops, Specific Plants .