◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Kazuki Naganuma

9 papers hereh-index 6137 citations27 works total

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

author position
  • first author4
  • middle author5

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • eess.SP5
  • eess.IV3
  • cs.CV1
same name
  • Kazuki Naganuma — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212025
most citedA General Destriping Framework for Remote Sensing Images Using Flatness Constraint

31 citations · 38 across the 9 of their papers we have counts for

collaborators
Showing eess.IVShow all

3 papers · 1 filter

eess.IV2023★ 5 cited

Robust Spatiotemporal Fusion of Satellite Images: A Constrained Convex Optimization Approach

Ryosuke Isono, Kazuki Naganuma, Shunsuke Ono

This paper proposes a novel spatiotemporal (ST) fusion framework for satellite images, named Robust Optimization-based Spatiotemporal Fusion (ROSTF). ST fusion is a promising appro…

eess.IV2023

Towards Robust Hyperspectral Unmixing: Mixed Noise Modeling and Image-Domain Regularization

Kazuki Naganuma, Shunsuke Ono

Hyperspectral (HS) unmixing is the process of decomposing an HS image into material-specific spectra (endmembers) and their spatial distributions (abundance maps). Existing unmixin…

eess.IV2021★ 31 cited

A General Destriping Framework for Remote Sensing Images Using Flatness Constraint

Kazuki Naganuma, Shunsuke Ono

Removing stripe noise, i.e., destriping, from remote sensing images is an essential task in terms of visual quality and subsequent processing. Most existing destriping methods are…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.