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InCR: Inception and concatenation residual block-based deep learning network for damaged building detection using remote sensing images
Research article (International Journal of Applied Earth Observation and Geoinformation, 2023) · cited 23× · AI/ML
InCR: Inception and concatenation residual block-based deep learning network for damaged building detection using remote sensing images
Summary
InCR: Inception and concatenation residual block-based deep learning network for damaged building detection using remote sensing images is a scholarly article[1].
Key Facts
InCR: Inception and concatenation residual block-based deep learning network for damaged building detection using remote sensing images's instance of is recorded as scholarly article[2].
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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). InCR: Inception and concatenation residual block-based deep learning network for damaged building detection using remote sensing images. Retrieved May 24, 2026, from https://4ort.xyz/entity/incr-inception-and-concatenation-residual-block-based-deep-learning-network-for-damaged-building-detection-using-remote-
MLA“InCR: Inception and concatenation residual block-based deep learning network for damaged building detection using remote sensing images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/incr-inception-and-concatenation-residual-block-based-deep-learning-network-for-damaged-building-detection-using-remote-.
BibTeX@misc{4ortxyz_incr-inception-and-concatenation-residual-block-based-deep-learning-network-for-damaged-building-detection-using-remote-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{InCR: Inception and concatenation residual block-based deep learning network for damaged building detection using remote sensing images}}, year = {2026}, url = {https://4ort.xyz/entity/incr-inception-and-concatenation-residual-block-based-deep-learning-network-for-damaged-building-detection-using-remote-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): InCR: Inception and concatenation residual block-based deep learning network for damaged building detection using remote sensing images — https://4ort.xyz/entity/incr-inception-and-concatenation-residual-block-based-deep-learning-network-for-damaged-building-detection-using-remote- (retrieved 2026-05-24)
