CT-NET: A cross-modal transformer network for satellite-borne GNSS-R soil moisture retrieval

Song Dai; Dongmei Song; Bin Wang

doi:10.1117/12.3059047

2 January 2025 CT-NET: A cross-modal transformer network for satellite-borne GNSS-R soil moisture retrieval

Song Dai, Dongmei Song, Bin Wang

Author Affiliations +

Proceedings Volume 13514, International Conference on Remote Sensing and Digital Earth (RSDE 2024); 135140S (2025) https://doi.org/10.1117/12.3059047
Event: 2024 International Conference on Remote Sensing and Digital Earth, 2024, Chengdu, China

Abstract

Global Navigation Satellite System-Reflectometry (GNSS-R) technology has been widely applied in soil moisture retrieval due to its low cost, short revisit periods, and precise positioning. To fully exploit global contextual information and long-range dependencies in Delay-Doppler maps (DDMs) from the Cyclone Global Navigation Satellite System (CYGNSS) and related auxiliary data, this paper proposes a novel method—Cross-Modal Transformer Network (CT-NET). CT-NET uniquely combines Transformer's multi-head self-attention and cross-attention mechanisms with a complementary fusion. The self-attention mechanism captures intrinsic features of GNSS-R multimodal data, while cross-attention enhances interconnectivity between different modal data. The Yellow River Delta is selected as the experimental area to validate the proposed method using soil moisture observations from the Soil Moisture Active Passive (SMAP) satellite. Compared with three state-of-the-art models, experimental results show that CT-NET outperforms other methods, confirming the innovation and superiority of this approach for soil moisture retrieval.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Song Dai, Dongmei Song, and Bin Wang "CT-NET: A cross-modal transformer network for satellite-borne GNSS-R soil moisture retrieval", Proc. SPIE 13514, International Conference on Remote Sensing and Digital Earth (RSDE 2024), 135140S (2 January 2025); https://doi.org/10.1117/12.3059047

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