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
Batch Converting MrSID to JPEG 2000 using IMAGINE Essentials
Converting a large number of image tiles in Lizardtech’s MrSID format (or any other raster format) to another format such as JPEG 2000 is an easy task using the Batch tool available in IMAGINE Essentials.
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.
IMAGINE Subpixel Classifier™
IMAGINE Subpixel Classifier is a state-of-the-art, non-parametric, supervised spectral classifier that performs subpixel spectral analysis by detecting and reporting whole and subpixel occurrences of a specific Material of Interest (MOI) in multispectral imagery.
IMAGINE Subpixel Classifier™ vs. Linear Spectral Unmixing
This Technical White Paper describes key performance differences between IMAGINE Subpixel Classifier and commercial alternatives based upon linear spectral unmixing (aka Linear Mixing Model or LMM) and typically sold as subpixel analysis modules. IMAGINE Subpixel Classifier is part of IMAGINE Professional suite of classification tools.
Intergraph Solutions for Distributed Common Ground Station (DCGS)
Since Desert Storm, Intergraph 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, Intergraph 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.
Mapping Urban Permeability with ERDAS IMAGINE
Among city planners and urban designers, there is a growing awareness of the environmental importance of surface permeability. Within urban and suburban (built-up) areas, management of the water cycle requires a certain balance between permeable surfaces such as vegetation or soil, and impermeable surfaces such as buildings and pavement. At a very high level, this issue is being addressed throughout Europe as a component of the Global Monitoring for Environment and Security (GMES) program.
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.
Optimizing the High-Pass Filter Addition Technique for Image Fusion
This paper highlights ERDAS' ongoing algorithm research. This paper was published in the September 2008 issue of PE&RS. You must have an active ERDAS log-in and password to access this piece.