A new benchmark dataset and end-to-end neural network for robust building extraction from remote sensing imagery in hazy and low-light conditions.
RSSFormer: Foreground saliency enhancement for remote sensing land-cover segmen- tation
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Building Extraction from Remote Sensing Imagery under Hazy and Low-light Conditions: Benchmark and Baseline
A new benchmark dataset and end-to-end neural network for robust building extraction from remote sensing imagery in hazy and low-light conditions.