Deep convolutional neural networks (CNNs) have outperformed existing object recognition and detection algorithms. On the other hand satellite imagery captures scenes that are diverse. This paper describes a deep learning approach that analyzes a geo referenced satellite image and efficiently detects built structures in it. A Fully Convolution Network (FCN) is trained on low resolution Google ea...

The continued advancements in satellite sensor technologies have increased the number of objects that can be discriminated within satellite imagery. Effective segmentation of high resolution satellite imagery is currently a hot topic of research. Existing segmentation algorithms and applications contain many parameters and options which require the operator to select a proper set of parameters ...

Monte Carlo based non-linear mixel (mixed pixel) model of visible to near infrared radiometer of earth observation satellite imagery is proposed. Through comparative studies with actual real earth observation satellite imagery data between conventional linear mixel model and the proposed non-linear mixel model, it is found that the proposed mixel model represents the pixels in concern much prec...

Monte Carlo based non-linear mixel (mixed pixel) model of visible to near infrared radiometer of earth observation satellite imagery is proposed. Through comparative studies with actual real earth observation satellite imagery data between conventional linear mixel model and the proposed non-linear mixel model, it is found that the proposed mixel model represents the pixels in concern much prec...

On October 29, 2008, magnitude 6.4 earthquake occurred in a area of western Pakistan. One of the Japanese earth observation satellite, Advanced Land Observing Satellite (ALOS), observed this area by all onboard sensors, AVNIR-2, PRISM, and PALSAR. By optical imagery, AVNIR-2 and PRISM imagery, huge landslide (rock slide) and landslide dam were confirmed by visual interpretation. And also this l...

Method for time change detection of four dimensional assimilation data by means of wavelet analysis is proposed together with spatial change detection with satellite imagery data. The method is validated with assimilation data and the same scale of satellite imagery data. Experimental results show that the proposed method does work well in visually. KeywordsAssimilation; change detection; wavel...

EVERITT, J.H.; YANG, C.; SRIHARAN, S., and JUDD, F.W., 2009. Using high resolution satellite imagery to map black mangrove on the Texas Gulf Coast. Journal of Coastal Research, 24(6), 1582–1586. West Palm Beach (Florida), ISSN 0749-0208. QuickBird false color satellite imagery was evaluated for distinguishing black mangrove [Avicennia germinans (L.) L.] populations on the south Texas Gulf Coast...

Two landuse grids were available for these catchments; one in 1995 was derived from satellite imagery and contained a relatively undifferentiated landuse classification (lumping all forest types into one category); the other in 2003 was derived from a mix of satellite imagery, ground truthing, and mapping, and better differentiated between landuse types (dividing forest types into evergreen, de...

one of the most important information in urban forestry is acquaintance of urban landscape’s area or proportion. nowadays, in several countries variable methods are used to achieve this aim. since there is not any complete method to study urban forest’s status in iran, it is impossible to exert authentic management for these resources. hence, in this research, sampling methods and ikonos satell...

Method for 3D map creation based on knowledgebase system for texture mapping together with height estimation using objects’ shadows with high spatial resolution of remote sensing satellite imagery data is proposed. Through the experiments with IKONOS imagery data, the proposed method is validated. Keywords—texture mapping; remote sensing satellite; 3D map; object height estimation;