Publication2025
Improved Building Extraction from Remotely Sensed Images by Integration of Encode–Decoder and Edge Enhancement Models
The record
- Type
- Publication
- Date
- 1 February 2025
- Level
- National
- Journal
- Journal of the Indian Society of Remote Sensing
- Volume
- 53
- Issue
- 2
- Pages
- 405-419
- Published
- 1 February 2025
- DOI
- 10.1007/s12524-024-01992-1
- Scopus ID
- 85204115835
- ISSN
- 0255660X
- Authors
- 3
- Open access
- No
- Citations
- 1
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
11 Make cities and human settlements inclusive, safe, resilient and sustainable
Encoder-decoder CNN for building extraction from satellite imagery enables urban planning and sustainable city development monitoring.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
13 Take urgent action to combat climate change and its impacts
Disaster risk monitoring and climate adaptation benefits from improved building detection in vulnerable regions.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2.4 Infrastructure and connectivity
Urban infrastructure mapping supports sustainable development and resilient infrastructure planning.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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Provenance
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Improved Building Extraction from Remotely Sensed Images by Integration of Encode–Decoder and Edge Enhancement Models”. Kortex.