22.1.5.10 Greenhouse Detection and Analysis

Chapter Contents (Back)
Greenhouses.

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., Aguilar, F.J., Aguera, F., Aguilar, M.A.,
Greenhouses Detection Using an Artificial Neural Network with a Very High Resolution Satellite Image,
IfromI06(xx-yy).
PDF File. 0607
BibRef

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.], Vallario, A.[Andrea], Aguilar, F.J.[Fernando J.], 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
BibRef

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
BibRef

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 Culture,
CloseRange10(xx-yy).
PDF File. 1006
BibRef

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
BibRef

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,
AnnalsPRS(I-7), No. 2012, pp. 99-104.
HTML Version. 1209
BibRef

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
BibRef

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
BibRef

Yang, D.[Dedi], Chen, J.[Jin], Zhou, Y.[Yuan], Chen, X.[Xiang], Chen, X.[Xuehong], 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 BibRef

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.) BibRef

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
BibRef


Yildirima, M.Z., Ozcan, C.,
Extraction of Greenhouse Areas with Image Processing Methods in Karabuk Province,
GeoAdvances17(107-109).
DOI Link 1805
BibRef

Demir, N., Eryilmaz, Y.E., Oy, S.,
Post-hurricane Damage Assessment On Greenhouse Fields With Use Of Sar Data,
Gi4DM18(191-195).
DOI Link 1805
BibRef

Coslu, M., Sonmez, N.K., Koc-San, D.,
Object-based Greenhouse Classification From High Resolution Satellite Imagery: A Case Study Antalya-turkey,
ISPRS16(B7: 183-187).
DOI Link 1610
BibRef

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
BibRef

Kang, J.M., Baek, S.H., Jung, K.Y.,
Analysis on the Utility of Satellite Imagery for Detection of Agricultural Facility,
ISPRS12(XXXIX-B3:223-226).
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 .


Last update:Mar 2, 2019 at 12:07:42