Synthetic aperture radar (SAR) has been recognized as a powerful tool for geological feature detection. This work introduces a new approach using Particle Swarm Optimization automatically detected geological features from PALSAR SAR data. The result shows that the new formula based on Particle Swarm Optimization can be delineated lineament features in PALSAR data. The new approach using Particl...

We study a dynamic coordination process in which agents are uncertain about the actions of their fellow agents, and anticipate strategically relevant information. Because of the uncertainty and learning, (ir)reversibility of actions has important strategic consequences. We find that the reversibility option can either enhance or hamper efficient coordination, and we characterize the direction o...

This paper focuses on evaluating the ability and contribution of using backscatter intensity, texture, coherence, and color features extracted from Sentinel-1A data for urban land cover classification and comparing different multi-sensor land cover mapping methods to improve classification accuracy. Both Landsat-8 OLI and Hyperion images were also acquired, in combination with Sentinel-1A data,...

Abstract: Modern cities are dense with very tall buildings, which often leads to features of interest (FOIs, e.g., relevant roads and associated landmarks) being occluded by clusters of buildings. Thus, from any given point of view, users can see only a small area of the city. However, it is currently an important technical problem to maintain the visibility of FOIs while preserving the urban s...

it is nowadays less likely to findcomprehensive historical areas, which can represent all the typical features of a historical urban environment. most historical urban spaces have undergone modernization and have inevitably ceased to function as they were originally devised to. however, successful experiences of urban space construction provethat modern urban areascan both meet the present day ...

Advances in remote sensing such as increasing spatial/spectral resolutions have strengthened its ability of urban environmental analysis. Unfortunately, high spatial resolution imagery also increases internal variability in landcover / use unit, which can cause consequent classification result showing a “salt and pepper” effect. To overcome this problem, region-based classification has been use...

Urban land cover classification using remote sensing data is quite challenging due to spectrally and spatially complex urban features. The present study describes the potential use of hyperspectral data for urban land cover classification and its comparison with multispectral data. EO-1 Hyperion data of October 05, 2012 covering parts of Bengaluru city was analyzed for land cover classification...

Urban environments challenge animals with 2 novel impediments to communication: low-frequency anthropogenic noise, which masks vocalizations, and large sound-reflecting structures, which contribute to reverberation. We studied spectral and temporal traits of trill songs of chipping sparrows (Spizella passerina), a species historically found in open grassland habitat, to understand how noise, ur...