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Neda Rahimpour Anaraki

2 papers hereh-index 24 citations2 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV2

identity via Semantic Scholar / OpenAlex

most citedDetecting Cadastral Boundary from Satellite Images Using U-Net model

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2025★ 1 cited

Detecting Cadastral Boundary from Satellite Images Using U-Net model

Neda Rahimpour Anaraki, Maryam Tahmasbi, Saeed Reza Kheradpisheh

Finding the cadastral boundaries of farmlands is a crucial concern for land administration. Therefore, using deep learning methods to expedite and simplify the extraction of cadast…

cs.CV2023

Automatic Cadastral Boundary Detection of Very High Resolution Images Using Mask R-CNN

Neda Rahimpour Anaraki, Alireza Azadbakht, Maryam Tahmasbi +3

Recently, there has been a high demand for accelerating and improving the detection of automatic cadastral mapping. As this problem is in its starting point, there are many methods…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.