{"ID":2883469,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2508.09392","arxiv_id":"2508.09392","title":"DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection","abstract":"One of the primary challenges in Synthetic Aperture Radar (SAR) object detection lies in the pervasive influence of coherent noise. As a common practice, most existing methods, whether handcrafted approaches or deep learning-based methods, employ the analysis or enhancement of object spatial-domain characteristics to achieve implicit denoising. In this paper, we propose DenoDet V2, which explores a completely novel and different perspective to deconstruct and modulate the features in the transform domain via a carefully designed attention architecture. Compared to DenoDet V1, DenoDet V2 is a major advancement that exploits the complementary nature of amplitude and phase information through a band-wise mutual modulation mechanism, which enables a reciprocal enhancement between phase and amplitude spectra. Extensive experiments on various SAR datasets demonstrate the state-of-the-art performance of DenoDet V2. Notably, DenoDet V2 achieves a significant 0.8\\% improvement on SARDet-100K dataset compared to DenoDet V1, while reducing the model complexity by half. The code is available at https://github.com/GrokCV/GrokSAR.","short_abstract":"One of the primary challenges in Synthetic Aperture Radar (SAR) object detection lies in the pervasive influence of coherent noise. As a common practice, most existing methods, whether handcrafted approaches or deep learning-based methods, employ the analysis or enhancement of object spatial-domain characteristics to a...","url_abs":"https://arxiv.org/abs/2508.09392","url_pdf":"https://arxiv.org/pdf/2508.09392v1","authors":"[\"Kang Ni\",\"Minrui Zou\",\"Yuxuan Li\",\"Xiang Li\",\"Kehua Guo\",\"Ming-Ming Cheng\",\"Yimian Dai\"]","published":"2025-08-12T23:24:20Z","proceeding":"cs.CV","tasks":"[\"cs.CV\"]","methods":"[]","has_code":false,"code_links":[{"ID":610987,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2883469,"paper_url":"https://arxiv.org/abs/2508.09392","paper_title":"DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection","repo_url":"https://github.com/GrokCV/GrokSAR","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}