A Maximum Entropy and Least Cost Path Model of Bearded Capuchin Monkey Movement in Northeastern Brazil Incorporating ERDAS Subpixel Classification Analysis of WorldView-2 Imagery
This is a winner paper from our 2012 ERDAS IMAGINE-DigitalGlobe Geospatial Challenge. Howard’s work has implications for predicting daily movement patterns of
all mobile animals, as high-resolution imagery and subpixel analysis in
conjunction with habitat modeling represent significant improvements to
previous attempts to link species occurrence or animal behavior with
Discriminant Function Change in ERDAS IMAGINE
For ERDAS IMAGINE 2011, ERDAS Inc. has developed a new algorithm for change detection between two co-registered images acquired at different dates. This algorithm, named Discriminant Function Change (DFC), characterizes the natural distribution of spectral clusters in the data space of one image, then uses a discriminant function to measure probability of change of the pixels in the other image.
ERDAS Engine - Increasing Throughput in a Cost-effective Fashion
As geospatial analysts process the extremely large imagery datasets that are typical in this industry, they are faced with a choice: save money by slowly generating data products using existing resources, or purchase additional software licenses to increase the number of processes that can be executed simultaneously. ERDAS Engine enables organizations to radically boost processing efficiency for less money.
Hexagon Geospatial Solutions for Distributed Common Ground Station (DCGS)
Since Desert Storm, Hexagon Geospatial has provided the tactical community with advanced imagery intelligence and GEOINT processing solutions that have made American, Commonwealth, and Coalition warfighters more effective in battle and in peace. Now, with a complete, geospatially-enabled, service oriented architecture, Hexagon Geospatial brings the tactical community, through the Distribute Common Ground Station (DCGS) program a host of next generation solutions that promise to increase situational awareness, ensure accuracy, and reduce mission latency.
Object-Based Change Detection for a Cultural-Historical Survey of the Landscape — From Cow Trails to Walking Paths
Historical maps, aerial images and other historic documents are finding their way into the digital world. This offers new possibilities but also requires adapted technologies and interdisciplinary approaches. The ProMeRe project connects historic, architectural and planning methods with remote sensing and geoinformation technologies. It aims to analyse the development of tourism and its effects in an alpine environment over the last 150 years. We present an object-based change detection approach with IMAGINE Objective for the monitoring of country roads and walking paths networks in the project area.
Radar Analyst Workstation: Modern, User-friendly Radar Technology in ERDAS IMAGINE
Over the past two decades, radar software research and development has resulted in a number of algorithms that produce higher-quality versions of the information products that are required by the user community. However, the natural variation in radar images and background-to-target ratios, as well as false positives, preclude the specification of processing parameters and thresholds that are universally applicable. As a result, handling radar images has traditionally been a very hands-on process, much more so than the processing and analysis of optical imagery.
ERDAS IMAGINE’s radar technology has been specifically designed to minimize the amount of work required from a human operator. With easy-to-use wizards and intelligent default values, ERDAS IMAGINE’s radar tools provide the maximum amount of automated pre-processing and information extraction and present you with the results for final refinement.
Signature of Pest-Organisms in Mato Grosso Agroecosystems Using WorldView-2 Imagery
Submitted as part of our 2012 Geospatial Challenge, this paper presents an application in which WorldView-2 images were used to detect the damage caused by nematodes in soybean (Glycine max L.), maize (Zea mays L.), sunnhemp (Crotalaria ochroleuca G. Don.) and dark sword-grass (Agrotis ipsilon) in maize (Zea mays L.).
The New Paradigm: Leveraging the "Information Cloud" with the Dynamic GIS
The Dynamic GIS, which completely connects sensors to software and software
to solutions through specific vertical market services, ultimately provides a means
to protect lives, infrastructure, and society. An integrated geospatial system, the
Dynamic GIS is able to translate change, on the fly, into actionable information. The
earth is constantly changing, and snapshots of geography can be captured from
airborne, orbital, terrestrial, or hand sensors and saved as a permanent record of
events happening on the earth’s surface.
Urban Temperature Profiling Using WorldView-2 8-Band Imagery and ERDAS IMAGINE
This paper was a winner in our 2012 ERDAS IMAGINE - DigitalGlobe Geospatial Challenge. This project sought to classify urban land use and land cover to
visualize temperature profiles and heat island effects as functions of
urban development. The extra four bands of eight-band imagery from
WorldView-2 provide increased opportunities for visualization and
extraction of intricate features present in data.
Volumetric Measure Using Geospatial Technology
Using high-resolution terrain information generated from stereo imagery, you can obtain volumetric measurements for monitoring and surface analysis. In this whitepaper, we detail workflows that could be used for such a task. We will prepare the project and stereo imagery, create a digital surface model (DSM), and take volumetric measurements. For our demonstration, the goal is to collect volumetric measurements that show how much earth has been removed from a quarry or mine. However, this process could also be used for a variety of applications.