THE EFFECT OF HYBRID POLARIMETRIC DESCRIPTORS ON CLASSIFICATION ACCURACY OF VARIOUS LAND COVER TYPES

被引：2

作者：

Turkar, Varsha ^{[1
]}

De, Shaunak ^{[2
]}

Das, Anup ^{[3
]}

Shitole, Sanjay ^{[4
]}

Deo, Rinki ^{[5
]}

Patnaik, Kaushik ^{[2
]}

机构：

[1] Don Bosco Coll Engn, Margao, Goa, India

[2] Orbital Insight, Palo Alto, CA USA

[3] ISRO, Space Applicat Ctr, Ahmadabad, Gujarat, India

[4] SNDT Womens Univ, UMIT, Mumbai, Maharashtra, India

[5] Harvard Univ, CGA, Cambridge, MA 02138 USA

来源：

IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2020年

关键词：

Synthetic Aparture Radar; Polarimetry; Classifiaction; Support Vector Machine; Decomposition; COMPACT;

D O I：

10.1109/IGARSS39084.2020.9323548

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

RISAT-1 data is acquired over Mumbai in hybrid and linear dual polarizations. The mean and standard deviation of backscattering coefficients (sigma(0)) are computed and have been analyzed for various land features. Classification accuracy between RISAT-1 hybrid and dual polarimetric data has been compared. The effect of different multilook on the classification accuracy is also studied. Wishart supervised and Support Vector Machine (SVM) classifiers are used for this study. It has been observed that the classification accuracy can be improved by using m - delta or m - chi decomposition along with Circular Polarization Ratio (CPR) and SPAN of hybrid polarimetric data.

引用

页码：3884 / 3887

页数：4

共 50 条

[1] URBAN LAND COVER CHANGE TYPES IDENTIFICATION USING FULLY POLARIMETRIC SAR DESCRIPTORS
Xie, Lei
Zhang, Hong
Wang, Chao
2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 4718 - 4721
[2] Improving the Accuracy of Land Cover Classification Using Fusion of Polarimetric SAR and Hyperspectral Images
Shokrollahi, Mahin
Ebadi, Hamid
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2016, 44 (06) : 1017 - 1024
[3] Improving the Accuracy of Land Cover Classification Using Fusion of Polarimetric SAR and Hyperspectral Images
Mahin Shokrollahi
Hamid Ebadi
Journal of the Indian Society of Remote Sensing, 2016, 44 : 1017 - 1024
[4] Classification of RISAT-1 Hybrid Polarimetric Data for Various Land Features
Turkar, Varsha
De, Shaunak
Ponnurangam, G. G.
Deo, Rinki
Rao, Y. S.
Das, Anup
CONFERENCE PROCEEDINGS OF 2013 ASIA-PACIFIC CONFERENCE ON SYNTHETIC APERTURE RADAR (APSAR), 2013, : 494 - 497
[5] Signatures of polarimetric parameters and their implications on land cover classification
Skriver, Henning
IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, : 4195 - 4198
[6] An Approach to Use Polarimetric Signature for Land Cover Classification
Maurya, Ajay Kumar
Ahmed, Tasneem
Singh, Dharmendra
Balasubramanian, Raman
2015 NATIONAL CONFERENCE ON RECENT ADVANCES IN ELECTRONICS & COMPUTER ENGINEERING (RAECE), 2015, : 248 - 253
[7] LAND-COVER CLASSIFICATION IN KALIMANTAN BY POLARIMETRIC PALSAR
Bagan, Hasi
Takeuchi, Wataru
Yamagata, Yoshiki
NETWORKING THE WORLD WITH REMOTE SENSING, 2010, 38 : 736 - 739
[8] The effect of atmospheric and topographic correction methods on land cover classification accuracy
Vanonckelen, Steven
Lhermitte, Stefaan
Van Rompaey, Anton
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2013, 24 : 9 - 21
[9] A study of land cover classification using polarimetric SAR parameters
Alberga, V.
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2007, 28 (17) : 3851 - 3870
[10] Polarimetric SAR observables for land cover classification: analyses and comparisons
Alberga, Vito
Satalino, Giuseppe
Staykova, Doroteya K.
SAR IMAGE ANALYSIS, MODELING, AND TECHNIQUES VIII, 2006, 6363

← 1 2 3 4 5 →