A new and fast unsupervised technique for partitioning high resolution Synthetic Aperture Radar (SAR) images into homogeneous regions is proposed. This technique is based on Fisher probability density functions (PDF) of the pixel value fluctuations and on an image model that consists of a patchwork of homogeneous regions with polygonal boundaries. The partition is obtained by minimizing the sto...

Multisensor data fusion combines data and information from multiple sensors to achieve improved accuracies and better inference about the environment than single sensor alone. This paper presents a technique for fusing the Synthetic Aperture Radar (SAR) image and optical image at same scene using wavelet transform (WT) algorithm. Before fused the two images, a image registration affine transfor...

The three-dimensional imaging of satellites from a groundbased radar is considered in a space situational awareness context. Utilizing the synthetic aperture radar (SAR) tomographic formulation and a model of the collection geometry in a specific low Earth orbit scenario, the shape and repeat nature of collection passes from ascending and descending orbits is evaluated and constraints on the fo...

In this paper, we extract the waterline from synthetic aperture radar (SAR) images to illustrate coastline change in Shanghai, China. Nine ERS-2 and ENVISAT SAR images acquired between 1998 and 2006 were selected and a new land-water classification scheme was implemented to obtain coastline. The results show that the seaward coastline change between 1998 and 2000 is faster in the eastern part a...

Fuzzy c-means (FCM) clustering algorithm is widely used for image segmentation. The purpose of clustering is to identify natural groupings of data from a large data set, which results in concise representation of system’s behavior. It can be used to detect icebergs regardless of ambient conditions like rain, darkness and fog. As a result SAR images can be used for iceberg surveillance. In this ...

This paper introduces the effective speckle reduction of synthetic aperture radar (SAR) images using inner product spaces in undecimated wavelet domain. There are two major areas in projection onto span algorithm where improvement can be made. First is the use of undecimated wavelet transformation instead of discrete wavelet transformation. And second area is the use of smoothing filter namely ...

Synthetic aperture radar (SAR) is an important active microwave imaging sensor [...]

Using the extensive archive of historical ERS-1 and -2 synthetic aperture radar (SAR) images, this analysis demonstrates that fire disturbance can be effectively detected and monitored in high northern latitudes using radar technology. A total of 392 SAR images from May to August spanning 1992–2010 were analyzed from three study fires in the Alaskan tundra. The investigated fires included the 2...

The 4th Synthetic Aperture Radar (SAR) oceanography workshop, SEASAR 2012, entitled "Advances in SAR Oceanography", was held in Tromsø, Norway, 18 to 22 June 2012. This paper describes the consensus on the state-of-the-art and gives a look ahead into the future on the field of radar remote sensing of oil slicks.

Image change detection is a process that analyzes images of the same scene taken at different times in order to identify changes that may have occurred between the considered acquisition dates. It has attracted widespread interest in the last decades, due to a large number of applications in diverse disciplines such as remote sensing, medical diagnosis and video surveillance. With the developme...