UAS imagery reveals new survey opportunities for counting hippos

Genetic subgrouping of melanoma reveals new opportunities for targeted therapy.

The discovery of activating oncogenic BRAF V600E mutations in the majority of melanomas has not yet been translated into more effective therapy. The failure of agents may be due to lack of sufficiently targeted therapeutics, but is more likely based on the activation of multiple oncogenic pathways in melanomas in addition to the mitogen-activated protein kinase signaling pathway. In contrast, t...

Producing Usable Simulation Terrain Data from UAS-Collected Imagery

At I/ITSEC 2015, we presented an approach to produce geo-referenced, highly-detailed (10cm or better) 3D models for an area of interest using imagery collected from cheap, commercial-off-the-shelf, multirotor Unmanned Aerial Systems (UAS). This paper discusses the next steps in making this data usable for modern-day game and simulation engines, specifically how it may be visually rendered, used...

A Visual Navigation System for Uas Based on Geo-referenced Imagery

This article presents an approach to the terrain-aided navigation problem suitable for unmanned aerial vehicles flying at low altitude. The problem of estimating the state parameters of a flying vehicle is addressed in the particular situation where the GPS information is unavailable or unreliable due to jamming situations for instance. The proposed state estimation approach fuses information f...

Calibration of UAS imagery inside and outside of shadows for improved vegetation index computation

Vegetation health and vigor can be assessed with data from multiand hyperspectral airborne and satelliteborne sensors using index products such as the normalized difference vegetation index (NDVI). Recent advances in unmanned aerial systems (UAS) technology have created the opportunity to access these same image data sets in a more cost effective manner with higher temporal and spatial resoluti...

New Hopes and Challenges for Treatment of Neurodegenerative Disorders: Great Opportunities for Young Neuroscientists