22.1.4.31 Radar for Land Cover, SAR for Land Cover, Remote Sensing

Chapter Contents (Back)
Classification. SAR. Radar. Remote Sensing.

Soares, J.V., Renno, C.D., Formaggio, A.R., Yanasse, C.D.C.F., Frery, A.C.,
An Investigation of the Selection of Texture Features for Crop Discrimination Using SAR Imagery,
RSE(59), No. 2, February 1997, pp. 234-247. 9704
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Karjalainen, M.[Mika], Kaartinen, H.[Harri], Hyyppä, J.[Juha],
Agricultural Monitoring Using Envisat Alternating Polarization SAR Images,
PhEngRS(74), No. 1, January 2008, pp. 117-128
WWW Link. 0803
Satellite images will improve yield estimation in the future because they can provide objective information about crop growth over large areas; in this context SAR images are extremely useful due to their high revisit imaging capability. BibRef

Richards, J.A.[John A.],
Remote Sensing with Imaging Radar,
Springer2009, ISBN: 978-3-642-02019-3
WWW Link. Radar. SAR. Buy this book: Remote Sensing with Imaging Radar (Signals and Communication Technology) 0911
BibRef

Waske, B.[Bjorn], Braun, M.[Matthias],
Classifier ensembles for land cover mapping using multitemporal SAR imagery,
PandRS(64), No. 5, September 2009, pp. 450-457.
Elsevier DOI 0910
Decision tree; Random forests; Boosting; Multitemporal SAR data; Land cover classification BibRef

Bargiel, D., Herrmann, S.,
Multi-Temporal Land-Cover Classification of Agricultural Areas in Two European Regions with High Resolution Spotlight TerraSAR-X Data,
RS(3), No. 5, May 2011, pp. 859-877.
DOI Link 1203
BibRef

Laurila, H., Karjalainen, M., Hyyppä, J., Kleemola, J.,
Integrating Vegetation Indices Models and Phenological Classification with Composite SAR and Optical Data for Cereal Yield Estimation in Finland (Part I),
RS(2), No. 1, January 2010, pp. 76-114.
DOI Link 1203
BibRef

Esch, T., Schenk, A., Ullmann, T., Thiel, M., Roth, A., Dech, S.,
Characterization of Land Cover Types in TerraSAR-X Images by Combined Analysis of Speckle Statistics and Intensity Information,
GeoRS(49), No. 6, June 2011, pp. 1911-1925.
IEEE DOI 1106
See also Delineation of Urban Footprints From TerraSAR-X Data by Analyzing Speckle Characteristics and Intensity Information. BibRef

Longepe, N., Rakwatin, P., Isoguchi, O., Shimada, M., Uryu, Y., Yulianto, K.,
Assessment of ALOS PALSAR 50 m Orthorectified FBD Data for Regional Land Cover Classification by Support Vector Machines,
GeoRS(49), No. 6, June 2011, pp. 2135-2150.
IEEE DOI 1106
BibRef

Bagan, H., Kinoshita, T., Yamagata, Y.,
Combination of AVNIR-2, PALSAR, and Polarimetric Parameters for Land Cover Classification,
GeoRS(50), No. 4, April 2012, pp. 1318-1328.
IEEE DOI 1204
BibRef

Li, G.[Guiying], Lu, D.S.[Deng-Sheng], Moran, E.[Emilio], Dutra, L.[Luciano], Batistella, M.[Mateus],
A comparative analysis of ALOS PALSAR L-band and RADARSAT-2 C-band data for land-cover classification in a tropical moist region,
PandRS(70), No. 1, June 2012, pp. 26-38.
Elsevier DOI 1206
ALOS PALSAR; RADARSAT; Texture; Land-cover classification; Amazon BibRef

Loosvelt, L., Peters, J., Skriver, H., de Baets, B., Verhoest, N.E.C.,
Impact of Reducing Polarimetric SAR Input on the Uncertainty of Crop Classifications Based on the Random Forests Algorithm,
GeoRS(50), No. 10, October 2012, pp. 4185-4200.
IEEE DOI 1210
BibRef

Skriver, H.,
Crop Classification by Multitemporal C- and L-Band Single- and Dual-Polarization and Fully Polarimetric SAR,
GeoRS(50), No. 6, June 2012, pp. 2138-2149.
IEEE DOI 1205
BibRef

Chen, Q., Kuang, G., Li, J., Sui, L., Li, D.,
Unsupervised Land Cover/Land Use Classification Using PolSAR Imagery Based on Scattering Similarity,
GeoRS(51), No. 3, March 2013, pp. 1817-1825.
IEEE DOI 1303
BibRef

Shi, L.[Lei], Zhang, L.F.[Le-Fei], Zhao, L.L.[Ling-Li], Yang, J.[Jie], Li, P.X.[Ping-Xiang], Zhang, L.P.[Liang-Pei],
The potential of linear discriminative Laplacian eigenmaps dimensionality reduction in polarimetric SAR classification for agricultural areas,
PandRS(86), No. 1, 2013, pp. 124-135.
Elsevier DOI 1312
Polarimetric synthetic aperture radar BibRef

Mishra, P., Singh, D.,
A Statistical-Measure-Based Adaptive Land Cover Classification Algorithm by Efficient Utilization of Polarimetric SAR Observables,
GeoRS(52), No. 5, May 2014, pp. 2889-2900.
IEEE DOI 1403
Backscatter BibRef

Arnaubec, A., Roueff, A., Dubois-Fernandez, P.C., Refregier, P.,
Vegetation Height Estimation Precision With Compact PolInSAR and Homogeneous Random Volume Over Ground Model,
GeoRS(52), No. 3, March 2014, pp. 1879-1891.
IEEE DOI 1403
radar interferometry BibRef

Cable, J.W.[Jeffrey W.], Kovacs, J.M.[John M.], Jiao, X.F.[Xian-Feng], Shang, J.[Jiali],
Agricultural Monitoring in Northeastern Ontario, Canada, Using Multi-Temporal Polarimetric RADARSAT-2 Data,
RS(6), No. 3, 2014, pp. 2343-2371.
DOI Link 1404
BibRef

Jiao, X.F.[Xian-Feng], Kovacs, J.M.[John M.], Shang, J.[Jiali], McNairn, H.[Heather], Walters, D.[Dan], Ma, B.[Baoluo], Geng, X.Y.[Xiao-Yuan],
Object-Oriented Crop Mapping and Monitoring Using Multi-Temporal Polarimetric RADARSAT-2 Data,
PandRS(96), No. 1, 2014, pp. 38-46.
Elsevier DOI 1410
Crops See also Multiyear Crop Monitoring Using Polarimetric RADARSAT-2 Data. BibRef

Cable, J.W.[Jeffrey W.], Kovacs, J.M.[John M.], Shang, J.[Jiali], Jiao, X.F.[Xian-Feng],
Multi-Temporal Polarimetric RADARSAT-2 for Land Cover Monitoring in Northeastern Ontario, Canada,
RS(6), No. 3, 2014, pp. 2372-2392.
DOI Link 1404
BibRef

Gao, W.[Wei], Yang, J.[Jian], Ma, W.[Wenting],
Land Cover Classification for Polarimetric SAR Images Based on Mixture Models,
RS(6), No. 5, 2014, pp. 3770-3790.
DOI Link 1407
BibRef

Uslu, E.[Erkan], Albayrak, S.[Songul],
Synthetic Aperture Radar Image Clustering with Curvelet Subband Gauss Distribution Parameters,
RS(6), No. 6, 2014, pp. 5497-5519.
DOI Link 1407
BibRef

Forkuor, G.[Gerald], Conrad, C.[Christopher], Thiel, M.[Michael], Ullmann, T.[Tobias], Zoungrana, E.[Evence],
Integration of Optical and Synthetic Aperture Radar Imagery for Improving Crop Mapping in Northwestern Benin, West Africa,
RS(6), No. 7, 2014, pp. 6472-6499.
DOI Link 1408
BibRef

Forkuor, G.[Gerald], Conrad, C.[Christopher], Thiel, M.[Michael], Zoungrana, B.J.B.[Benewinde J.B.], Tondoh, J.E.[Jérôme E.],
Multiscale Remote Sensing to Map the Spatial Distribution and Extent of Cropland in the Sudanian Savanna of West Africa,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Cremon, É.H.[Édipo Henrique], de Fátima Rossetti, D.[Dilce], Zani, H.[Hiran],
Classification of Vegetation over a Residual Megafan Landform in the Amazonian Lowland Based on Optical and SAR Imagery,
RS(6), No. 11, 2014, pp. 10931-10946.
DOI Link 1412
BibRef

Alonso-Gonzalez, A., Lopez-Martinez, C., Salembier, P.,
PolSAR Time Series Processing With Binary Partition Trees,
GeoRS(52), No. 6, June 2014, pp. 3553-3567.
IEEE DOI 1403
Covariance matrices BibRef

Alonso-Gonzalez, A., Jagdhuber, T., Hajnsek, I.,
Agricultural monitoring with polarimetric SAR time series,
MultiTemp15(1-4)
IEEE DOI 1511
radar imaging BibRef

Alonso-Gonzalez, A., Lopez-Martinez, C., Hajnsek, I.,
Processing polarimetric SAR time series over urban areas with binary partition trees,
MultiTemp15(1-4)
IEEE DOI 1511
geophysical techniques BibRef

Alonso-Gonzalez, A., Valero, S., Chanussot, J., Lopez-Martinez, C., Salembier, P.,
Processing Multidimensional SAR and Hyperspectral Images With Binary Partition Tree,
PIEEE(100), No. 3, March 2013, pp. 723-747.
IEEE DOI 1303
BibRef

Valero, S.[Silvia], Salembier, P.[Philippe], Chanussot, J.[Jocelyn],
Hyperspectral Image Representation and Processing With Binary Partition Trees,
IP(22), No. 4, April 2013, pp. 1430-1443.
IEEE DOI 1303
BibRef
Earlier:
Hyperspectral image segmentation using Binary Partition Trees,
ICIP11(1273-1276).
IEEE DOI 1201
BibRef
Earlier:
Comparison of merging orders and pruning strategies for Binary Partition Tree in hyperspectral data,
ICIP10(2565-2568).
IEEE DOI 1009
See also Binary Partition Tree as an Efficient Representation for Image Processing, Segmentation, and Information Retrieval. See also Hyperspectral Image Segmentation Using a New Spectral Unmixing-Based Binary Partition Tree Representation. BibRef

Valero, S.[Silvia], Salembier, P.[Philippe], Chanussot, J.[Jocelyn],
Object recognition in hyperspectral images using Binary Partition Tree representation,
PRL(56), No. 1, 2015, pp. 45-51.
Elsevier DOI 1503
Object based image analysis BibRef

Kweon, S.K.[Soon-Koo], Oh, Y.[Yisok],
A Modified Water-Cloud Model With Leaf Angle Parameters for Microwave Backscattering From Agricultural Fields,
GeoRS(53), No. 5, May 2015, pp. 2802-2809.
IEEE DOI 1502
geophysical techniques scattering model for radar backscatters of agricultural fields. BibRef

Masjedi, A., Zoej, M.J.V.[M.J. Valadan], Maghsoudi, Y.,
Classification of Polarimetric SAR Images Based on Modeling Contextual Information and Using Texture Features,
GeoRS(54), No. 2, February 2016, pp. 932-943.
IEEE DOI 1601
Accuracy BibRef

Dargahi, A., Maghsoudi, Y., Abkar, A.A.,
Supervised Classification of Polarimetric SAR Imagery Using Temporal and Contextual Information,
SMPR13(107-110).
HTML Version. 1311
BibRef

Anghel, A.[Andrei], Vasile, G.[Gabriel], Boudon, R.[Rémy], d'Urso, G.[Guy], Girard, A.[Alexandre], Boldo, D.[Didier], Bost, V.[Véronique],
Combining spaceborne SAR images with 3D point clouds for infrastructure monitoring applications,
PandRS(111), No. 1, 2016, pp. 45-61.
Elsevier DOI 1601
Synthetic aperture radar (SAR) BibRef

Hütt, C.[Christoph], Koppe, W.[Wolfgang], Miao, Y.X.[Yu-Xin], Bareth, G.[Georg],
Best Accuracy Land Use/Land Cover (LULC) Classification to Derive Crop Types Using Multitemporal, Multisensor, and Multi-Polarization SAR Satellite Images,
RS(8), No. 8, 2016, pp. 684.
DOI Link 1609
BibRef

Mascolo, L., Lopez-Sanchez, J.M., Vicente-Guijalba, F., Nunziata, F., Migliaccio, M., Mazzarella, G.,
A Complete Procedure for Crop Phenology Estimation With PolSAR Data Based on the Complex Wishart Classifier,
GeoRS(54), No. 11, November 2016, pp. 6505-6515.
IEEE DOI 1610
Agriculture BibRef

Duguay, Y.[Yannick], Bernier, M.[Monique], Lévesque, E.[Esther], Domine, F.[Florent],
Land Cover Classification in SubArctic Regions Using Fully Polarimetric RADARSAT-2 Data,
RS(8), No. 9, 2016, pp. 697.
DOI Link 1610
BibRef

Pepe, A.[Antonio], Bonano, M.[Manuela], Zhao, Q.[Qing], Yang, T.[Tianliang], Wang, H.[Hanmei],
The Use of C-/X-Band Time-Gapped SAR Data and Geotechnical Models for the Study of Shanghai's Ocean-Reclaimed Lands through the SBAS-DInSAR Technique,
RS(8), No. 11, 2016, pp. 911.
DOI Link 1612
BibRef

Jiang, M.[Mi], Yong, B.[Bin], Tian, X.[Xin], Malhotra, R.[Rakesh], Hu, R.[Rui], Li, Z.[Zhiwei], Yu, Z.[Zhongbo], Zhang, X.[Xinxin],
The potential of more accurate InSAR covariance matrix estimation for land cover mapping,
PandRS(126), No. 1, 2017, pp. 120-128.
Elsevier DOI 1704
Urban remote sensing BibRef

Capodici, F.[Fulvio], Maltese, A.[Antonino], Ciraolo, G.[Giuseppe], D'Urso, G.[Guido], La Loggia, G.[Goffredo],
Power Sensitivity Analysis of Multi-Frequency, Multi-Polarized, Multi-Temporal SAR Data for Soil-Vegetation System Variables Characterization,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Kenduiywo, B.K., Bargiel, D., Soergel, U.,
Higher Order Dynamic Conditional Random Fields Ensemble for Crop Type Classification in Radar Images,
GeoRS(55), No. 8, August 2017, pp. 4638-4654.
IEEE DOI 1708
Agriculture, Backscatter, Context, Data models, Radar imaging, Sensors, Classifier ensemble, conditional random fields (CRFs), dynamic CRFs (DCRFs), phenology, radar, spatial-temporal/multitemporal, classification BibRef

Qi, Z.[Zhixin], Yeh, A.G.O.[Anthony Gar-On], Li, X.[Xia],
A crop phenology knowledge-based approach for monthly monitoring of construction land expansion using polarimetric synthetic aperture radar imagery,
PandRS(133), No. Supplement C, 2017, pp. 1-17.
Elsevier DOI 1711
Knowledge-based approach, Crop phenology, Construction land expansion, Monthly detection, Polarimetric SAR BibRef

Li, D., Yang, C., Du, Y.,
Efficient Method for Scattering From Cylindrical Components of Vegetation and Its Potential Application to the Determination of Effective Permittivity,
GeoRS(55), No. 11, November 2017, pp. 6120-6127.
IEEE DOI 1711
Dielectrics, Manganese, Nonhomogeneous media, Permittivity, Scattering, Vegetation, Vegetation mapping, Cylindric component, T-matrix, effective permittivity, orientation, distribution BibRef


Abdikan, S., Sanli, F.B., Ustuner, M., Calò, F.,
Land Cover Mapping Using Sentinel-1 Sar Data,
ISPRS16(B7: 757-761).
DOI Link 1610
BibRef

Park, S., Im, J.,
Classification Of Croplands Through Fusion Of Optical And Sar Time Series Data,
ISPRS16(B7: 703-704).
DOI Link 1610
BibRef

Hong, M.G., Kim, C.,
Standwise Change Detection For Growing Stock Using Repeat-Pass Alos Palsar / Palsar-2 Data,
ISPRS16(B7: 841-845).
DOI Link 1610
BibRef

Bougarradh, A.[Ahlem], Mhiri, S.[Slim], Ghorbel, F.[Faouzi],
Unsupervised Classification of Synthetic Aperture Radar Imagery Using a Bootstrap Version of the Generalized Mixture Expectation Maximization Algorithm,
ICISP16(273-282).
WWW Link. 1606
BibRef

Dehghan-Soraki, Y., Saha, S.K., Kumari, M.,
A Modified Polarimetric Decompostion for Applicabilty in Complex Agricultural Environment,
SMPR13(133-137).
HTML Version. 1311
BibRef

Mahdian, M., Homayouni, S., Fazel, M.A., Mohammadimanesh, F.,
Agricultural Land Classification Based on Statistical Analysis of Full Polarimetric SAR Data,
SMPR13(257-261).
HTML Version. 1311
BibRef

Khabazan, S., Motagh, M., Hosseini, M.,
Evaluation of Radar Backscattering Models IEM, OH, and Dubois using L and C-Bands SAR Data over different vegetation canopy covers and soil depths,
SMPR13(225-230).
HTML Version. 1311
BibRef

Xu, J., Li, Z., Tian, B., Chen, Q., Zhang, P.,
Classification of Polarimetric SAR Image Based on the Subspace Method,
IWIDF13(145-148).
HTML Version. 1311
BibRef

Li, P.X., Sun, W.D., Yang, J., Shi, L., Lang, F.K., Jiang, W.,
High Resolution POLSAR Image Classification Based on Genetic Algorithm and Support Vector Machine,
IWIDF13(67-71).
HTML Version. 1311
BibRef

Fu, H.Q.[Hai-Qiang], Zhu, J.J.[Jian-Jun], Wang, C.C.[Chang-Cheng], Xie, Q.H.[Qing-Hua], Zhao, R.[Rong],
A Robust PCT Method Based on Complex Least Squares Adjustment Method,
IWIDF13(29-32).
HTML Version. 1311
PCT: Polarization Coherence Tomography. Vegetation heights. BibRef

Fazel, M.A., Homayouni, S., Amini, J.,
Kernel-Based Unsupervised Change Detection of Agricultural Lands Using Multi-Temporal Polarimetric SAR Data,
SMPR13(169-173).
HTML Version. 1311
BibRef

Singh, D., Chamundeeswari, V.V.[V. Vijaya],
Labeling of Clusters Based on Critical Analysis of Texture Measures,
Hannover13(317-320).
DOI Link 1308
BibRef

Mishra, B.[Bhogendra], Susaki, J.[Junichi],
Generation of pseudo-fully polarimetric data from dual polarimetric data for land cover classification,
CVRS12(262-267).
IEEE DOI 1302
BibRef

Qin, X.X.[Xian-Xiang], Zhou, S.L.[Shi-Lin], Zou, H.X.[Huan-Xin], Gao, G.[Gui],
Statistical modeling of sea clutter in high-resolution SAR images using generalized gamma distribution,
CVRS12(306-310).
IEEE DOI 1302
BibRef

Chu, H.T., Ge, L.,
Combination Of Genetic Algorithm And Dempster-shafer Theory Of Evidence For Land Cover Classification Using Integration of SAR and Optical Satellite Imagery,
ISPRS12(XXXIX-B7:173-178).
DOI Link 1209
BibRef

Recio, J.A., Ruiz, L.Á.[Luis Á.], Hermosilla, T.[Txomin], Herrera-Cruz, V., Fernández-Sarría, A.,
Combination of TERRASAR-X and Optical Imagery for LU/LC Mapping using an Object-Based Approach,
HighRes11(xx-yy).
PDF File. 1106
Also use backscattering informaton. BibRef

Liu, Z.Y.[Zhen-Yu], Yu, J.[Jie], Jan, Q.[Qin], Zhao, Z.[Zheng], Yang, J.[Jie],
Investigation of Vegetation Phases Extraction Based on Polarmetric SAR Interferometry,
ISIDF11(1-4).
IEEE DOI 1111
BibRef

Power, D.[Desmond], Adlakha, P.[Paul], Dragosevic, M.[Marina], McGuire, P.[Peter], Vachon, P.[Paris], Meunier, P.[Pierre],
Critical infrastructure monitoring using high resolution SAR satellites,
CGC10(164).
PDF File. 1006
BibRef

Scheuchl, B., Ullmann, T., Koudogbo, F.,
Change Detection using High Resolution TERRASAR-X Data: Preliminary Results,
HighRes09(xx-yy).
PDF File. 0906
BibRef

Lohmann, P.[Peter], Soergel, U., Tavakkoli, M., Farghaly, D.,
Multi-temporal Classification for Crop Discrimination using TerraSAR-X Spotlight images,
HighRes09(xx-yy).
PDF File. 0906
BibRef

Riedel, T., Thiel, C., Schmullius, C.,
An object-based classification procedure for the derivation of broad land cover classes using both optical and SAR data,
OBIA06(xx-yy).
PDF File. 0607
BibRef

Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Classification for Urban Area Land Cover, Remote Sensing .


Last update:Nov 18, 2017 at 20:56:18