The full suite featuring advanced hyperspectral analysis, graphical spatial modeling with advanced operators, and complex point cloud/photogrammetric workflows. Conclusion
"Supervised Classification," he commanded. erdas imagine software
Consider the humble Landsat satellite. It hurtles through space at 17,000 mph, collecting photons reflected from a 30-meter by 30-meter patch of Earth. That single pixel contains the reflected light of asphalt, grass, shadow, and a car roof. Standard GIS software struggles here—it wants to classify that pixel as one thing. ERDAS IMAGINE, through techniques like and Spectral Unmixing , does the hard work. It looks at the ratio of Band 4 (Near-Infrared) to Band 3 (Red) and deduces: “32% concrete, 58% vegetation, 10% shadow.” It hurtles through space at 17,000 mph, collecting
It is not fun to use. It does not look modern. But when you need to accurately classify 10 terabytes of satellite imagery to prove a legal case regarding illegal logging, nothing else works as reliably. ERDAS IMAGINE, through techniques like and Spectral Unmixing