For the existing of speckle in SAR image, it is very difficult to obtain good segmentation result with traditional methods. In the paper, a new method of SAR image segmentation is proposed with the combination of the features of SAR image and multiresolution analysis of wavelet. First, texture features are abstracted in wavelet domain. Second, SAR image is filtered according to the feature of its distribution in the wavelet domain. At last, SAR image is segmented according to the vector composed by wavelet texture features and gray level of SAR image filtered. The experiment results show that the new method is efficient in SAR image segmentation. ? 2005 IEEE.EI
Abstract- Synthetic Aperture Radar (SAR) images are mostly corrupted by speckle noise and this type ...
Aiming at the multiple target recognition problems in large-scene SAR image with strong speckle, a r...
Conference PaperThis paper introduces a novel speckle reduction method based on thresholding the wav...
For the existing of speckle in SAR image, it is very difficult to obtain good segmentation result wi...
Traditional filtering methods can't work well in Synthetic Aperture Radar (SAR) image speckle r...
This paper introduces a method for speckle noise reduction based on multiresolution algorithms and a...
AbstractIn order to suppress the effect of multiplicative speckle noise on Synthetic Aperture Radar ...
This paper describes a novel projection algorithm, the Projection Onto Span Algorithm (POSA) for wav...
In this paper, an effective method for speckle reduction and image enhancement for SAR images is pro...
With the advent of the tremendous development in multifrequency, polarimetric and interferometric te...
We propose in this paper an efficient and fast wavelet based technique for speckle removal from SAR ...
SAR images are corrupted by speckle noise which is based on multiplicative noise or Reyleigh noise. ...
Segmentation plays a key role in many image processing applications, including SAR image analysis. G...
Synthetic Aperture Radar (SAR) technology has mainly used for capturing high quality images from hig...
The paper presents texture classification using multi-channel filters: Gabor filters and discrete wa...
Abstract- Synthetic Aperture Radar (SAR) images are mostly corrupted by speckle noise and this type ...
Aiming at the multiple target recognition problems in large-scene SAR image with strong speckle, a r...
Conference PaperThis paper introduces a novel speckle reduction method based on thresholding the wav...
For the existing of speckle in SAR image, it is very difficult to obtain good segmentation result wi...
Traditional filtering methods can't work well in Synthetic Aperture Radar (SAR) image speckle r...
This paper introduces a method for speckle noise reduction based on multiresolution algorithms and a...
AbstractIn order to suppress the effect of multiplicative speckle noise on Synthetic Aperture Radar ...
This paper describes a novel projection algorithm, the Projection Onto Span Algorithm (POSA) for wav...
In this paper, an effective method for speckle reduction and image enhancement for SAR images is pro...
With the advent of the tremendous development in multifrequency, polarimetric and interferometric te...
We propose in this paper an efficient and fast wavelet based technique for speckle removal from SAR ...
SAR images are corrupted by speckle noise which is based on multiplicative noise or Reyleigh noise. ...
Segmentation plays a key role in many image processing applications, including SAR image analysis. G...
Synthetic Aperture Radar (SAR) technology has mainly used for capturing high quality images from hig...
The paper presents texture classification using multi-channel filters: Gabor filters and discrete wa...
Abstract- Synthetic Aperture Radar (SAR) images are mostly corrupted by speckle noise and this type ...
Aiming at the multiple target recognition problems in large-scene SAR image with strong speckle, a r...
Conference PaperThis paper introduces a novel speckle reduction method based on thresholding the wav...