OCSA-FN: A Fusion Network With Orthogonality-Constrained Spatial Attention for Hyperspectral and Land Surface Temperature Data Classification (opens in new tab)

With the continuous advancement of remote sensing (RS) technology, collaborative image land cover classification using multisource RS data has gradually emerged as a prominent research focus. However, one of the core challenges during the feature fusion process of multisource RS data is to achieve efficient feature interaction while minimizing redundancy and enhancing the representational capacity of features. To address this issue, this article proposes a fusion network with orthogonality-co...