搜索结果: 1-15 共查到“摄影测量与遥感技术 Polarimetric SAR”相关记录21条 . 查询时间(0.087 秒)
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...
AN UNSUPERVISED CHANGE DETECTION BASED ON TEST STATISTIC AND KI FROM MULTI-TEMPORAL AND FULL POLARIMETRIC SAR IMAGES
Change Detection Multi-temporal Synthetic Aperture Radar (SAR) Test Statistic Kittler and Illingworth (KI)
2016/11/23
Accurate and timely change detection of Earth’s surface features is extremely important for understanding relationships and interactions between people and natural phenomena. Many traditional methods ...
MULTISCALE SEGMENTATION OF POLARIMETRIC SAR IMAGE BASED ON SRM SUPERPIXELS
synthetic aperture radar (SAR) polarimetric SAR (PolSAR) segmentation multiscale superpixel binary partition tree (BPT) statistical region merging (SRM)
2016/11/23
Multi-scale segmentation of remote sensing image is more systematic and more convenient for the object-oriented image analysis compared to single-scale segmentation. However, the existing pixel-based ...
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 ...
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...
A NOVEL EDGE-DETECTION BASED SEGMENTATION ALGORITHM FOR POLARIMETRIC SAR IMAGES
Pattern Recognition Segmentation Image understanding Feature extraction Land Cover
2015/12/30
Aiming at overcoming the disadvantages of the algorithm proposed by White, R. G. (RGW) and making it applicable for PolSAR data classification, a novel edge-detection algorithm based on segmentation f...
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...
DARK SPOT DETECTION USING INTENSITY AND THE DEGREE OF POLARIZATION IN FULLY POLARIMETRIC SAR IMAGES FOR OIL POLUTION MONITORING
Polarimetry Synthetic Aperture Radar (SAR) Oil pollution Degree of polarization Dark-spot detection
2016/1/18
Oil spill surveillance is of great environmental and economical interest, directly contributing to improve environmental protection. Monitoring of oil spills using synthetic aperture radar (SAR) has r...
SEGMENTATION OF POLARIMETRIC SAR IMAGES USIG WAVELET TRANSFORMATION AND TEXTURE FEATURES
Segmentation Polarimetric Synthetic Aperture Radar (PolSAR) Wavelet Speckle Multiresolution Texture Feature
2016/1/18
Polarimetric Synthetic Aperture Radar (PolSAR) sensors can collect useful observations from earth’s surfaces and phenomena for various remote sensing applications, such as land cover mapping, change a...
CLASSIFICATION OF POLARIMETRIC SAR IMAGES BASED ON SCATTERING MECHANISMS
Classification polarimetry decomposition Pauli polarimetric response scattering
2015/9/28
Polarimetric classification is one of the most significant applications of polarimetric radar in remote sensing. During the last decade, several research tasks revealed the contribution of polarimetri...
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...
Similarity measures of full polarimetric SAR images fusion for improved SAR image matching
SAR Image Matching, Logarithmically Image Transformation, NCC Measure, Information-based Entropy, Similarity Measures Fusion, Full Polarimetric SAR Data
2015/7/27
China’s first airborne SAR mapping system (CASMSAR) developed by Chinese Academy of Surveying and Mapping can acquire high-resolution and full polarimetric (HH, HV, VH and VV) Synthetic aperture radar...
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...
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...