Image Analytics
High resolution Earth Observation for Strategic Defense & National progress
Image analytics
Coming Soon Features
Temporal Image Comparison
☑️ Description: This image features a side-by-side comparison of two satellite images of the same area, captured at different times. It visually highlights changes, such as urban expansion or environmental shifts like deforestation.
☑️ Purpose: Demonstrates your application’s ability to analyze and display temporal changes in geospatial data, a critical feature for tracking development or natural phenomena over time.
☑️ Visual Elements: Two images labeled "Before" and "After," with noticeable differences (e.g., new buildings or altered landscapes) clearly visible.
Heatmap Visualization
☑️ Description: A heatmap overlaid on a geographic map, using color gradients to represent data intensity—such as population density, pollution levels, or vegetation cover.
☑️ Purpose: Showcases your application’s capability to visualize complex geospatial data patterns in an intuitive way, aiding users in identifying trends or hotspots.
☑️ Visual Elements: A map with vibrant colors (e.g., red for high intensity, blue for low), applied to a recognizable region for context.
Land Cover Classification
☑️ Description: A processed satellite image where distinct land cover types—like water, forest, and urban areas—are color-coded for easy differentiation.
☑️ Purpose: Illustrates your application’s ability to classify and analyze imagery data, enabling detailed insights into land use or environmental conditions.
☑️ Visual Elements: A satellite view with color blocks (e.g., blue for water, green for forest, gray for urban), paired with a simple legend for clarity.
Analytics Dashboard Mockup
☑️ Description: A mockup of an analytics dashboard displaying metrics and visualizations tied to imagery data, such as cloud cover percentages, image resolution stats, or sensor performance.
☑️ Purpose: Highlights your application’s analytical tools and how it presents actionable insights to users in a structured format.
☑️ Visual Elements: A clean layout featuring graphs, pie charts, and data tables, designed to reflect real-world analytics outputs from your work.
Object Detection
☑️ Description: Processed satellite imagery overlaid with bounding boxes that pinpoint objects of interest such as aircraft, vehicles, ships, or infrastructure.
☑️ Purpose: Showcases the system’s capability to automatically detect and classify strategic objects in satellite images — ideal for defense monitoring, logistics tracking, or critical infrastructure protection.
☑️ Visual Elements:
High-resolution satellite view
Color-coded bounding boxes with labels and confidence scores
A compact legend (e.g., red = Aircraft, yellow = Truck)
Change Detection
☑️ Description: A comparative analysis of satellite images captured at different time intervals, highlighting critical changes such as new constructions, infrastructure damage, land shifts, or deforestation.
☑️ Purpose: Demonstrates the platform’s ability to automatically detect and quantify temporal changes, supporting a wide range of use cases — from urban expansion tracking and natural disaster response to military surveillance and strategic defense monitoring.
☑️ Visual Elements:
Clearly highlighted change zones (e.g., red = new object, blue = removed area)
Timestamp overlays and change heatmap visualization
Defense use: Spot unauthorized construction, airbase expansion, or terrain alterations in border-sensitive zones
