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...

Terrain surfaces conserve human activities in terms of textures and structures. The objective of geomorphological filters is to distinguish between anthropogenically undisturbed and disturbed surfaces. Filters applied over high-resolution DTM show a clear anthropogenic character of contour lines and channels. Based on methodology of geomorphometry and geo-statistics a series of analyses functio...

The present paper describes methods for monitoring urban development, using statistics of stock and construction of industrial buildings. By aggregation of building data on digital frameworks for the content of local plans, potential construction possibilities are measured. Furthermore the developments in urban industrial construction are analysed. This paper’s focus is on the problems in geo-c...

The spreading dynamic of the 2004 dengue fever outbreak that occurred in Tartagal, Northwestern Argentina, was investigated. A total of 487 suspected dengue cases were recorded and geo-referenced. Maps of daily cases were generated for the 109 days of the outbreak. The epidemic affected the majority of the city within 11 days. The age-distribution of the cases was different from the population ...

MOTIVATION Recently, a range of new statistics have become available for the alignment-free comparison of two sequences based on k-tuple word content. Here, we extend these statistics to the simultaneous comparison of more than two sequences. Our suite of statistics contains, first, C(*)1 and C(S)1, extensions of statistics for pairwise comparison of the joint k-tuple content of all the sequenc...

Our method concentrates on and constructs the distinguished single gene network. An integrated method was proposed based on linear programming and a decomposition procedure with integrated analysis of the significant function cluster using Kappa statistics and fuzzy heuristic clustering. We tested this method to identify ATF2 regulatory network module using data of 45 samples from the same GEO ...

This paper presents classification of various land cover types from the raw satellite image using supervised classifiers and performances of the classifiers are analyzed. Geo coded and Geo-referenced remote sensed images from Survey of India, Government of India Topographical maps are used. Prior to classification, Training process to assemble a set of statistics describing spectral response pa...

254 INTRODUCTION The detection, classification, and geo-location of ground-based signal sources is one of the primary missions of modern military surveillance aircraft. Example signals of interest are the search radar of an enemy missile site, the radio communications between enemy combatants, and the distress radio beacon being transmitted by a downed friendly pilot. The ability to locate such...