搜索结果: 1-15 共查到“Polarimetric SAR data”相关记录18条 . 查询时间(0.081 秒)
Forest Total and Component Above-Ground Biomass (AGB) Estimation through C- and L-band Polarimetric SAR Data
total and component biomass backscatter polarimetric SAR
2023/12/8
Forest biomass plays an essential role in forest carbon reservoir studies, biodiversity protection, forest management, and climate change mitigation actions. Synthetic Aperture Radar (SAR), especially...
SEA OIL SPILL DETECTION USING SELF-SIMILARITY PARAMETER OF POLARIMETRIC SAR DATA
Oil Spill Detection PolSAR Image Self-Similarity Parameter Polarimetric Features Look-alikes Remote Sensing
2018/5/15
The ocean oil spills cause serious damage to the marine ecosystem. Polarimetric Synthetic Aperture Radar (SAR) is an important mean for oil spill detections on sea surface. The major challenge is how ...
RANDOM FOREST CLASSIFICATION OF SEDIMENTS ON EXPOSED INTERTIDAL FLATS USING ALOS-2 QUAD-POLARIMETRIC SAR DATA
Coastal Zones Surveillance SAR Polarimetric Decomposition Optical Channels Random Forest
2016/12/1
Coastal zones are one of the world’s most densely populated areas and it is necessary to propose an accurate, cost effective, frequent, and synoptic method of monitoring these complex ecosystems. Howe...
COMPARISON OF C-BAND AND X-BAND POLARIMETRIC SAR DATA FOR RIVER ICE CLASSIFICATION ON THE PEACE RIVER
River ice dynamics SAR Polarimetry
2016/11/23
In this study, synthetic aperture radar (SAR) data from TerraSAR-X were compared with RADARSAT-2 data to evaluate their effectiveness for river ice monitoring on the Peace River. For several years RAD...
POLARIMETRIC SAR DATA GMM CLASSIFICATION BASED ON IMPROVED FREEMAN INCOHERENT DECOMPOSITION
Improved Freeman decomposition Gaussian Mixture Model Polarimetric SAR data Iteration desorientation EM algorithm Unsupervised classification
2016/11/23
Due to the increasing volume of available SAR Data, powerful classification processings are needed to interpret the images. GMM (Gaussian Mixture Model) is widely used to model distributions. In most ...
UNSUPERVISED CLASSIFICATION OF POLARIMETRIC SAR DATA USING IMAGE CLUSTERING AND H/A/α DECOMPOSITION
Image Classification Data Clustering H/A/a Polarimetric SAR Iteration POLSARPRO
2016/3/17
This paper proposed a method of unsupervised classification of polarimetric SAR data based on image clustering and H/A/a decomposition. Fully polarimetric L band data collected by ALOS PALSAR system w...
Classification of Polarimetric SAR Data by Complex Valued Neural Networks
PolSAR classification machine learning complex valued neural networks
2016/1/25
In the last decades it often has been shown that Multilayer Perceptrons (MLPs) are powerful function approximators. They were
successfully applied to a lot of different classification problems. Howev...
WEIGHTED PYRAMID LINKING FOR SEGMENTATION OF FULLY-POLARIMETRIC SAR DATA
SAR Segmentation Polarization Algorithms Multiresolution Spatial
2015/12/30
Image segmentation has the general goal to define regions within an image, in which all pixels have similiar properties. For fully-polarimetric SAR data this is often done by spectral classification w...
interest of fully polarimetric sar data for classification and land use cartography
polarimetry land use svm classifi cation
2015/9/1
French Polynesia islands are located at the middle of the South Pacific Ocean. They are thus subject to a strong environmental planning leading to landscape changes as well as to the introductio...
Estimating Forest Biomass in Temperate Forests Using Airborne Multi-frequency Polarimetric SAR Data
Synthetic Aperture Radar (SAR) Polarimetry Multi-frequency
2015/8/28
We used multi-sensor, multi-frequency and multi-polarization SAR data for biophysical parameter retrieval in plantation forests of
Northern Japan. The statistical relationships with different biophys...
ANALYSIS OF X-BAND POLARIMETRIC SAR DATA FOR THE DERIVATION OF THE SURFACE ROUGHNESS OVER BARE AGRICULTURAL FIELDS
Remote Sensing SAR Soil Land Cover Land Use Agriculture
2015/5/29
We investigated the potential of fully polarimetric data in X-band to discriminate the principal surface types present in a study site near Avignon in France: bare soils, agricultural fields, orchards...
DETECTION OF SHIP TARGETS IN POLARIMETRIC SAR DATA USING 2D-PCA DATA FUSION
Polarimetric data fusion 2D-PCA
2015/5/7
Data fusion has lately received a lot of attention as an effective technique for several target detection and classification applications in different remote sensing areas. In this work, a novel dat...
Role of Polarimetric SAR data for discrimination/biophysical parameters of crops based on canopy architecture
SAR polarimetry circular /linear polarization crop separability crop biomass multi-date SAR data erectophiles planophiles
2014/12/15
Synthetic Aperture Radar (SAR) sensors have great potential for a wide range of agricultural applications, owing to their capability of all-weather observation. It is particularly useful in tropical r...
Comparative analysis of RISAT-1 and simulated RADARSAT-2 hybrid polarimetric SAR data for different land features
Hybrid Polarimetry RISAT-1 RADARSAT-2 Stokes Parameters CPR
2014/12/15
The purpose of this study is to compare the performance of first hybrid polarimetric spaceborne satellite RISAT-1 data and simulated hybrid polarimetric data from quad-pol RADARSAT-2 data for differen...
CHANGE DETECTION OF MULTI-POLARIMETRIC SAR DATA BASED ON PRINCIPAL COMPONENT ANALYSIS
Polarimetric SAR Change detection Principal component analysis
2014/4/24
Recently, Polarimetric SAR (PolSAR) techniques have been much studied as hot research topics in the area of SAR. The objective
of this paper is to assess the Principal component analysis (PCA) techn...