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A comparative study on deep‐learning methods for dense image matching of multi‐angle and multi‐date remote sensing stereo‐images
Abstract Deep‐learning (DL) stereomatching methods gained great attention in remote sensing satellite datasets. However, most of these existing studies conclude assessments based only on a few/single stereo‐images lacking a systematic evaluation on how robust DL methods are on satellite stereo‐images with varying radiometric and geometric configurations. This paper provides an …