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Detecting urban changes using phase correlation and ℓ1-based sparse model for early disaster response: A case study of the 2018 Sulawesi Indonesia earthquake-tsunami
Research article (Remote Sensing of Environment, 2020) · cited 44× · AI/ML
Detecting urban changes using phase correlation and ℓ1-based sparse model for early disaster response: A case study of the 2018 Sulawesi Indonesia earthquake-tsunami
Summary
Detecting urban changes using phase correlation and ℓ1-based sparse model for early disaster response: A case study of the 2018 Sulawesi Indonesia earthquake-tsunami is a scholarly article[1].
Key Facts
Detecting urban changes using phase correlation and ℓ1-based sparse model for early disaster response: A case study of the 2018 Sulawesi Indonesia earthquake-tsunami's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Detecting urban changes using phase correlation and ℓ1-based sparse model for early disaster response: A case study of the 2018 Sulawesi Indonesia earthquake-tsunami. Retrieved May 24, 2026, from https://4ort.xyz/entity/detecting-urban-changes-using-phase-correlation-and-l1-based-sparse-model-for-early-disaster-response-a-case-study-of-th
MLA“Detecting urban changes using phase correlation and ℓ1-based sparse model for early disaster response: A case study of the 2018 Sulawesi Indonesia earthquake-tsunami.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/detecting-urban-changes-using-phase-correlation-and-l1-based-sparse-model-for-early-disaster-response-a-case-study-of-th.
BibTeX@misc{4ortxyz_detecting-urban-changes-using-phase-correlation-and-l1-based-sparse-model-for-early-disaster-response-a-case-study-of-th_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Detecting urban changes using phase correlation and ℓ1-based sparse model for early disaster response: A case study of the 2018 Sulawesi Indonesia earthquake-tsunami}}, year = {2026}, url = {https://4ort.xyz/entity/detecting-urban-changes-using-phase-correlation-and-l1-based-sparse-model-for-early-disaster-response-a-case-study-of-th}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Detecting urban changes using phase correlation and ℓ1-based sparse model for early disaster response: A case study of the 2018 Sulawesi Indonesia earthquake-tsunami — https://4ort.xyz/entity/detecting-urban-changes-using-phase-correlation-and-l1-based-sparse-model-for-early-disaster-response-a-case-study-of-th (retrieved 2026-05-24)
