A composed supervised/unsupervised approach to improve change detection from remote sensing
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Pabitra Mitra et al. combined an active learning method with SVM and advanced an active SVM with reduced labeled data for classification.
“In [169], Pabitra Mitra et al . combined an active learning method with SVM and advanced an active SVM with reduced labeled data for classification [157].”
From Applications and Challenges of Artificial Intelligence in Space Missions (2024) · cites this paper as [169]
Cited by
Sorted by citations
Applications and Challenges of Artificial Intelligence in Space Missions
Oche, P. A., Ewa, G. A., & Ibekwe, N. (2024) · IEEE Access · doi:10.1109/access.2021.3132500 · Cited by 68 · see citing works
“[168] performed the combination of both supervised and unsupervised modes of change detection and on a pixel-based method to achieve better classification of remote sensing images.”
MethodAn Overview of Technological Revolution in Satellite Image Analysis
Department of Computer Science & Engineering, K. A. U., Jenice, A. R., Raimond, K., & Department of Computer Science & Engineering, K. A. U. (2016) · Journal of Engineering Science and Technology Review · doi:10.25103/jestr.094.01 · Cited by 11 · see citing works
- Authors
- Castellana, L., D’Addabbo, A., & Pasquariello, G.
- Affiliations
- Institute of Intelligent Systems for Automation (IT)
- Corresponding author
- Castellana, L.
- Venue
- Pattern Recognition Letters
- Publisher
- Elsevier BV
- Published
- 2007-03
- Volume
- 28
- Issue
- 4
- Pages
- 405-413
- ISSN
- 0167-8655 (ISSN-L)
- OpenAlex
- W2102228434
- Cited by
- 93
- References
- 0
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 2 · 2023: 4 · 2022: 1 · 2021: 5 · 2020: 6 · 2019: 4 · 2018: 6 · 2017: 5 · 2016: 6 · 2015: 8 · 2014: 6 · 2013: 12 · 2012: 5
- FWCI
- 9.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Pattern Recognition Letters (publishedVersion)
- Topics
- Physical Sciences › Engineering › Media Technology › Remote-Sensing Image Classification
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Remote Sensing and Land Use
- Physical Sciences › Environmental Science › Ecology › Remote Sensing in Agriculture
- Keywords
- change detection, remote sensing, post-classification comparison, supervised classification, unsupervised classification
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
