Classification of polarimetric SAR images using compact convolutional neural networks
Classification of polarimetric synthetic aperture radar (PolSAR) images is an active research
area with a major role in environmental applications. The traditional Machine Learning (ML) …
area with a major role in environmental applications. The traditional Machine Learning (ML) …
Dual and single polarized SAR image classification using compact convolutional neural networks
Accurate land use/land cover classification of synthetic aperture radar (SAR) images plays
an important role in environmental, economic, and nature related research areas and …
an important role in environmental, economic, and nature related research areas and …
Your Input Matters—Comparing Real-Valued PolSAR Data Representations for CNN-Based Segmentation
Inspired by the success of Convolutional Neural Network (CNN)-based deep learning
methods for optical image segmentation, there is a growing interest in applying these …
methods for optical image segmentation, there is a growing interest in applying these …
Multifrequency PolSAR image classification using dual-band 1d convolutional neural networks
In this work, we propose a novel classification approach based on dual-band one-
dimensional Convolutional Neural Networks (1D-CNNs) for classification of multifrequency …
dimensional Convolutional Neural Networks (1D-CNNs) for classification of multifrequency …
Classification of SAR Images Using Compact Convolutional Neural Networks
Classification of SAR images has been an interesting task considering its major role in
environmental and natural research areas. Existing studies proposed for Land use/land …
environmental and natural research areas. Existing studies proposed for Land use/land …
Performance comparison of learned vs. engineered features for polarimetric SAR terrain classification
In this work, we propose to use learned features for terrain classification of Polarimetric
Synthetic Aperture Radar (PolSAR) images. In the proposed classification framework, the …
Synthetic Aperture Radar (PolSAR) images. In the proposed classification framework, the …
Implementation of Neural Network-Based Classification Models on Multifrequency Band SAR Dataset
Chapter 5 discusses the use of several neural network models that have been implemented
for the analysis of remote sensing data. The NN models are advancements in machine …
for the analysis of remote sensing data. The NN models are advancements in machine …