This paper investigates various SAR digital filtering techniques to remove speckles for image classification using fused SAR and SPOT XS image. The fused image classification is then compared with the classified SPOT XS image. The result has shown that the use of the Enhanced Frost digital filtering technique for SAR image and the fusion with SPOT XS gives a very similar classification with comparison to the SPOT XS image classification.</p
The Synthetic Aperture Radar (SAR) image is a high-resolution image and is less influenced by weathe...
Producing accurate land-use and land-cover (LULC) mapping is a long-standing challenge using solely ...
A new algorithm for land classification is presented in this paper and is based on the fusion of Mul...
This paper investigates various SAR digital filtering techniques to remove speckles for image classi...
Synthetic Aperture Radar is one of the most widely used systems in modern radar technology because o...
Image fusion is a useful tool for integrating low spatial resolution multispectral (MS) images with ...
This paper presents the results of research on the effectiveness of different filtering methods dedi...
Synthetic Aperture Radar (SAR) is widely used in remote sensing and landcover objects. Comparing wit...
Nowadays, Synthetic Aperture Radar has become the most widely used radar system, since SAR images ar...
Image fusion techniques of remote sensing data are formal frameworks for merging and using images or...
This paper analyzes the effects of speckle filtering on polarimetric SAR decomposition and classific...
Land cover classification provides information on how the land has been changed over the years. Thro...
SAR (Synthetic Aperture Radar) is a mechanism of radar communication crafted for the object reconstr...
In this study an attempt is made for studying the Himalayan glacier features using TerraSAR-X and In...
Segmentation plays a key role in many image processing applications, including SAR image analysis. G...
The Synthetic Aperture Radar (SAR) image is a high-resolution image and is less influenced by weathe...
Producing accurate land-use and land-cover (LULC) mapping is a long-standing challenge using solely ...
A new algorithm for land classification is presented in this paper and is based on the fusion of Mul...
This paper investigates various SAR digital filtering techniques to remove speckles for image classi...
Synthetic Aperture Radar is one of the most widely used systems in modern radar technology because o...
Image fusion is a useful tool for integrating low spatial resolution multispectral (MS) images with ...
This paper presents the results of research on the effectiveness of different filtering methods dedi...
Synthetic Aperture Radar (SAR) is widely used in remote sensing and landcover objects. Comparing wit...
Nowadays, Synthetic Aperture Radar has become the most widely used radar system, since SAR images ar...
Image fusion techniques of remote sensing data are formal frameworks for merging and using images or...
This paper analyzes the effects of speckle filtering on polarimetric SAR decomposition and classific...
Land cover classification provides information on how the land has been changed over the years. Thro...
SAR (Synthetic Aperture Radar) is a mechanism of radar communication crafted for the object reconstr...
In this study an attempt is made for studying the Himalayan glacier features using TerraSAR-X and In...
Segmentation plays a key role in many image processing applications, including SAR image analysis. G...
The Synthetic Aperture Radar (SAR) image is a high-resolution image and is less influenced by weathe...
Producing accurate land-use and land-cover (LULC) mapping is a long-standing challenge using solely ...
A new algorithm for land classification is presented in this paper and is based on the fusion of Mul...