提出BRIC-Net模型，精准修复遥感图像阴影，保持颜色与辐射一致性。
BRIC-Net: Boundary-Reliable Illumination-Color Interaction for Remote Sensing Image Deshadowing
- 分层解耦光照与色彩恢复，避免混淆
- 在AeroDS-Syn上达29.46dB PSNR，AISD上PIQE最低
- 适合需要高保真遥感影像分析的研究者
遥感图像中的阴影会遮蔽地表特征并破坏辐射连续性，降低视觉解读与下游分析的可靠性。遥感图像去阴影是一个病态逆问题，需在保持非阴影区域色度和辐射一致性的前提下，恢复空间变化的光照。现有方法常依赖硬阴影掩码补偿或直接回归RGB值，但硬掩码难以建模渐变半影且对定位误差敏感，易产生残留阴影或光环伪影；直接回归则混淆光照恢复与色彩重建，可能导致色偏。为此，我们提出边界可靠的光照-色彩交互网络（BRIC-Net），在不同表示层级解耦上述缺陷。光度可靠性先验（LRP）基于CIELAB统计推导可靠性引导；边界自适应门控混合（BAGM）在不确定过渡区对浅层RGB与亮度特征进行门控插值；空间-通道互调（SCMM）协调深层空间与通道响应，实现外观保持的光照恢复。BRIC-Net在AeroDS-Syn上达到29.46~dB全图峰值信噪比，在SRGTA上为27.96~dB；在AISD与AeroDS-Real上取得最低感知图像质量评价（PIQE）得分。区域评估与组件消融实验进一步验证其在阴影恢复与非阴影保持方面的有效性。
原文摘要 · Abstract (English)
Shadows in remote sensing images obscure surface appearance and disrupt radiometric continuity, reducing the reliability of visual interpretation and downstream analysis. Remote sensing image deshadowing is an ill-posed inverse problem that requires spatially varying illumination recovery while preserving chromatic and radiometric consistency in non-shadow regions. Existing methods commonly rely on hard shadow masks for compensation or directly regress RGB intensities. Hard masks may inadequately model gradual penumbra variations and are sensitive to localization errors, often producing residual shadows or halo artifacts; direct RGB regression entangles illumination recovery with chromatic reconstruction and can introduce color casts. To this end, we propose the Boundary-Reliable Illumination-Color Interaction Network (BRIC-Net), which decouples these failures at different representation levels. A Lightness Reliability Prior (LRP) derives reliability-aware guidance from CIELAB statistics. Boundary-Adaptive Gated Mixing (BAGM) performs gated interpolation between shallow RGB and lightness features around uncertain transitions, while Spatial-Channel Mutual Modulation (SCMM) coordinates deeper spatial and channel responses for appearance-preserving illumination recovery. BRIC-Net achieves 29.46~dB full-image peak signal-to-noise ratio (PSNR) on AeroDS-Syn and 27.96~dB on SRGTA. It also obtains the lowest Perception-based Image Quality Evaluator (PIQE) scores on AISD and AeroDS-Real. Region-wise evaluations and component ablations further support its effectiveness in shadow recovery and non-shadow preservation.
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