Considering the purpose of change detection task, this paper extracts the urban area from the filtered co-registered original image with the method based on variogram first. Then, it takes advantage of generalized Gamma model to fit SAR images, in order to gain the characteristics information, such as radiation value, local texture, etc, because of the clutter statistical characteristics of SAR...

Disaster management has got an important facet, viz., disaster mitigation, which in turn depends upon early damage assessment. Remote Sensing is considered as an ideal technique for obtaining early information. This exercise has been carried out for assessing the damaged area, automatically, based on high-resolution post-earthquake images in Gujarat, India and high resolution satellite images o...

International Conference on Sustainable Built Environment (ICSBE-2010) Kandy, 13-14 December 2010 Abstract: This paper presets a methodology and results of evaluating damaged building detection algorithms using an object recognition task based on Differential Morphological Profile (DMP) for Very High Resolution (VHR) remotely sensed images. The proposed approach involves several advanced morpho...

In this paper, evaluation results are presented for multi-temporal interferometric coherence analysis using a Synthetic Aperture Radar (SAR) for damage assessment in an urban area. The latest space-borne SARs potentially have a high enough spatial resolution to assess individual buildings. However, interferometric coherence analysis has not been evaluated for its limitation in sensitivity and s...

Using Scanning Probe Acoustic Microscopy (SPAM), we characterize the surface and subsurface topography of a nano HfO2 film on SiO2 substrate quantitatively. Surface topography shows that the roughness of the film’s surface is less than 3 nm, while the acoustic image of Sample Vibration Mode (SVM) shows that there are dozens of random lines at the film’s subsurface, which might be scratches from...