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June 3, 2026Remote Sensing0 citationsOpen Access

Lightweight Network for Martian Rock Segmentation Using Adaptive Frequency Transformer

MAFT: A Lightweight Network for Martian Rock Segmentation Based on an Adaptive Frequency Transformer

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Authors

CLChu LiYJYutong JiaGWGang Wan

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Overview

Randomized trial demonstrates enhanced segmentation accuracy in Martian rocks, suggesting improved rover navigation capabilities.

Key Points

  • This research aims to develop a lightweight network for accurate segmentation of Martian rocks, essential for rover navigation.
  • Proposed MAFT, building on Adaptive Frequency Transformer with improved backbone (IAFFormer).
  • Replaced traditional self-attention with frequency-domain approach, reducing complexity from quadratic to linear.
  • Developed dataset of Martian rocks for Zhurong rover and conducted experiments on synthetic and real datasets.
  • MAFT achieved pixel accuracy of 98.17% and IoU of 88.90% on TWMARS-V2 dataset.
  • Achieved highest segmentation accuracy with only 2.97 M parameters and 15.49 G FLOPs.
  • Enhanced module design improves boundary perception without increasing parameter count.
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Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/6a1fc509dee9eb8c0dce67dehttps://doi.org/10.3390/rs18111794
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