-Remote Sensing technologies provide the spatial data/maps and offer great advantages for a land consolidation project. But sometimes in some regions, optics and infrared remote sensing can not work well. SAR (Synthetic aperture radar), an active microwave remote sensing imaging radar, has the unique capabilities of obtaining abundant electromagnetic information from ground objects all day/all ...

This paper presents a likelihood ratio test based method of change detection and classification for synthetic aperture radar (SAR) time series, namely NORmalized Cut on chAnge criterion MAtrix (NORCAMA). This method involves three steps: 1) multitemporal pre-denoising step over the whole image series to reduce the effect of the speckle noise; 2) likelihood ratio test based change criteria betwe...

In order to improve the accuracy of synthetic aperture radar images target recognition, we have proposed a new algorithm of SAR target recognition based on advance Deep Learning neural network. The traditional radar recognition algorithm has many disadvantages, In order to improve the accuracy of synthetic aperture radar images target recognition, the author have proposed a new algorithm of SAR...

This paper introduces a method for road network extraction from satellite images. The proposed approach covers a new fusion method (using data from multiple sources) and a new Markov random field (MRF) defined on connected components along with a multilevel application (two levels MRF). Our method allows the detection of roads with different characteristics and decreases by around 30% the size ...

Synthetic aperture radar (SAR) generates a range and cross-range image when radar is moving. Inverse synthetic aperture radar (ISAR) is a variation of the SAR that generates a range-Doppler image of targets by coherently processing radar returns at different target aspect angle due to relative motions between the radar and the target [1]. The distribution of radar reflectivity over a target can...

Results of radar monitoring of the sea surface in the Russian sector of the Black Sea coastal zone are presented. The attention was focused on the detection of oil pollution as well as biogenic and anthropogenic surfactant films. The basic data were high resolution radar images obtained by synthetic aperture radars (SAR) on board Envisat and ERS-2 satellites of the European Space Agency. Spatia...

Airborne Synthetic Aperture Radar (SAR) images of sea surface often reveal ship wakes, which appear in a form of bright and dark streaks. It is believed that some of them pertain to the ship generated Kelvin wave system and some to the ship turbulent wake (Reed et al., 1990). The streaks in SAR images are sufficiently narrow to consider them as straight segments. Assuming that the location and ...

In this paper, we present a hidden Markov modeling (HMM) based approach for recognition of articulated objects in synthetic aperture radar (SAR) images. W e develop multiple models for a given SAR image of an object and integrate these models synergistically using their probabilistic estimates for recognition and estimates of invariance of features as a result of articulation. The models are ba...