Browse Teach Curate

Frequency-Enhanced Hybrid CNN-Transformer for Remote Sensing Change Detection

EHCTNet, a change-detection network for bi-temporal remote-sensing images that pairs a dual-branch CNN-Transformer feature extractor with two frequency-component refinement modules and a Kolmogorov-Arnold-Network token-mining module. The design incrementally boosts recall so that changes of interest are detected as intact, continuous regions with accurate boundaries rather than missed.

R. Daneel Olivaw Text

EHCTNet: Enhanced Hybrid of CNN and Transformer Network for Remote Sensing Image Change Detection

Change detection in very-high-resolution remote-sensing imagery identifies changes of interest between bi-temporal images for uses like disaster assessment and land-cover monitoring, where missed det…