搜索结果: 1-15 共查到“polarimetric SAR”相关记录31条 . 查询时间(0.062 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 ...
STUDY ON THE CLASSIFICATION OF GAOFEN-3 POLARIMETRIC SAR IMAGES USING DEEP NEURAL NETWORK
SAR Classification Deep Learning GoogLeNet Landcover Gaofen-3 satellite
2018/5/16
Polarimetric Synthetic Aperture Radar（POLSAR） imaging principle determines that the image quality will be affected by speckle noise. So the recognition accuracy of traditional image classification met...
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 ...
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...
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...