This paper presents a focusing strategy for the 3-D reconstruction of urban scenes from aerial stereo pairs. It consists in segmenting the scene into above-ground objects (buildings or vegetation), and it relies on 3-D and radiometric analyses. The classification is able to cope with extended above-ground, adjacent objects, slopes, and it is robust to image and scene variability.

We present a methodology for exploration in 3D indoor environments with a computation and payload constrained micro-aerial vehicle (MAV). We propose a stochastic differential equation-based exploration strategy, discuss the details of the approach, and provide experimental results demonstrating the successful application of these methods on an aerial vehicle able to explore multi-floor buildings.

In this paper, we present and evaluate the effect of two mode selection schemes for device to device (D2D) enabled areal netwroks. The two schemes are based on a threshold received signal strength (RSS) and an average threshold D2D distance between two given users to select the D2D mode. While one scheme triggers the D2D mode based on distance values only, the other scheme can trigger D2D mode ...

A novel, automatic tertiary classifier is proposed for identifying vegetation, building and non-building objects from a single nadir aerial image. The method is unsupervised, that is, no parameter adjustment is done during the algorithm’s execution. The only assumption the algorithm makes about the building structures is that they have convex rooftop sections. Results are provided for two diffe...

Recently, interest about intelligence facility surveillance system is increasing for a facility management. In the intelligence facility surveillance system, a shadow improvement technique is very important to analyzing video information. The reason, the facility’s shadow can make video analysis difficult. Previous researches about the shadow improvement are not suitable in facility surveillanc...

Information on landslide displacement from SAR Interferometric Point Target Analysis (IPTA) and sketch maps from aerial photography interpretation are combined for the study of landslides in Ticino, Southern Switzerland. Numerous unstable phenomena are considered in this mountainous region, with an elevation range from approximately 200 m a.s.l. to more than 3000 m a.s.l. The results achieved w...

The paper discusses the development of an unmanned aerial vehicle (UAV) based optical system for tracking individual Australian plague locusts. Managing and monitoring of locust swarms is important for minimising damage to agriculture, and the optical tracker combines the benefits of aerial photography and tagged insects to help with this process. Optical transponders are attached to the upper ...

In Pacific Coast salt marshes, only color and color IR aerial photography provide the spatial, spectral, and temporal resolution required to conduct long-term historic time series analysis of wetland change at the plant community level. We used historic aerial photographs with manual and automated image classification techniques to discern decadal-scale changes to salt marshes in Elkhorn Slough...

This research presents a new vision system that explores a spherical geometry and will be provide innovative solutions for tracking, surveillance, navigation and mapping with micro Unmanned Aerial Vehicle (μUAV) in unknown indoor environments. The system will be used with μUAV in indoor environment and it is composed by twenty six cameras that are arranged in order to sample different parts of ...

Multi-paradigm modeling settings inherently and frequently cause inconsistencies between models in di erent languages involved in the design. The proper management of inconsistencies starts with choosing the appropriate formalisms to characterize inconsistent situations. In this paper, we introduce a formalism, which allows reasoning about inconsistencies in the context of the design process. W...