ICVRL International Computer Vision Research Laboratory

Remote Sensing

Analysis of satellite and aerial imagery for environmental monitoring, urban planning, and geospatial applications.

2 Researchers 2 Projects 2 Publications

Research Focus & Scope

Remote Sensing at ICVRL addresses global environmental and urban challenges through satellite, aerial, and drone imagery analysis. We build planetary-scale AI models to monitor land use, climate shifts, agricultural yield, and natural disaster impacts.

How We Conduct Research in Remote Sensing

We design specialized models capable of ingesting multispectral, hyperspectral, and Synthetic Aperture Radar (SAR) data. Our pipelines utilize geo-spatial embeddings, domain adaptation, and scale-invariant convolutional backbones.

Real-World Applications

Satellite land cover change and deforestation tracking
Agricultural crop health monitoring and yield forecasting
Flood, wildfire, and earthquake damage assessment
Urban development and infrastructure growth mapping
Maritime vessel tracking and oceanic monitoring

Projects in this Domain

All Projects

SkyWatch: Real-Time UAV Object Detection System

A real-time object detection system optimized for UAV-mounted cameras with edge computing capabilities.

active Code

TerraVision: Satellite Image Analysis for Environmental Monitoring

Deep learning-based satellite image analysis platform for land use classification and environmental change det...

active Code

Recent Publications

All Publications
conference

Real-Time Object Detection in Aerial Imagery Using Lightweight Transformers

Ahmad Khan, Ali Raza, Shams ur Rehman

Computer Vision and Pattern Recognition (CVPR), 2025

journal

Multi-Spectral Satellite Image Classification Using Hybrid CNN-Transformer Architecture

Ali Raza, Shams ur Rehman, Ahmad Khan

Remote Sensing of Environment, 2024

Tech Stack & Tools

GDAL Rasterio TorchGeo Google Earth Engine PyTorch GeoPandas QGIS OpenCV

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Interested in conducting MS/PhD research or undergraduate projects in Remote Sensing?

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