Mineral Element Identification in Remote Sensing Imagery: A Fusion Approach Using CH-Tucker Decomposition and RFDNet DOI Open Access
Xingyu Ding, Wenjun Hu,

Guanbing Hu

et al.

Traitement du signal, Journal Year: 2023, Volume and Issue: 40(4), P. 1501 - 1509

Published: Aug. 31, 2023

In the realm of geological and mineral exploration, remote sensing technology has emerged as a pivotal high-tech instrument.However, effective interpretation images, especially in context heterogeneous data processing, noise, identification fine granularity, remains challenge.In this study, novel method for elements within imagery was introduced.Firstly, feature tensor migration technique anchored on Coupled Heterogeneous Tucker Decomposition (CH-Tucker decomposition) presented.Through technique, multi-source were effectively processed fused.Notably, associated features from varying resolutions angles seamlessly coupled.Subsequently, an optical image processing model founded RFDNet network established.This demonstrated robustness against noise data, thereby enabling with higher degree granularity.The proposed methodology exhibited capacity to extract element information comprehensively remarkable accuracy.Thus, research offers both valuable theoretical insights practical evidence furtherance exploration.

Language: Английский

Building Assesment in Riparian Zone of Code Watershed DOI Creative Commons

Diva Darma Wijaya,

Nursetiawan Nursetiawan,

Muhammad Shazril Idris Ibrahim

et al.

E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 594, P. 06002 - 06002

Published: Jan. 1, 2024

Population growth is a significant problem in the amount of land change that occurs. The Code River watershed Yogyakarta has experienced urbanization due to lack for housing, even though vital role community activities as center government, economy, tourism and history. In determining width border, it adapts morphological demographic conditions. Satellite data processing utilizes deep learning using Object Based Image Analysis (OBIA) method. results obtained are boundaries varying from 3 m 10 m. object evaluation carried out, completeness rate 83.5% quality 69.1%. number buildings detected boundary area 1178. midstream an with dense building conditions compared downstream upstream. use dominated by residential MSME although there other such hospitals, buildings, farms, schools, factories.

Language: Английский

Citations

0

A Critical Assessment of the Current State and Governance of the UNESCO Cultural Heritage Site in Cartagena de Indias, Colombia DOI Open Access
Manuel Saba, Gabriel Elías Chanchí Golondrino, Leydy K. Torres Gil

et al.

Published: June 9, 2023

Since 2017 Cartagena UNESCO World Heritage has threatened to be categorized as "in Danger" by UNESCO. This research analyzes two main critical aspects, Governance and Current state of the Site. Regarding Governance, study aims identify strengths, weaknesses, opportunities treats in Exemplary heritage management systems are studied propose an adaptable approach specifically for Cartagena. On other hand, a comprehensive analysis is conducted utilizing photographic report that highlights major issues arising from inadequate management. Hyperspectral images obtained previous employed vegetation asbestos-cement roofs within cultural The reveals ambiguity surrounding decision-making authority management, distributed between Mayor's Office Ministry Culture, primary challenge. fragmentation resulted duplicated efforts lack coordinated action, significantly compromising conservation protection Moreover, twelve current shortcomings identified through authors' five-year on-site regular visits, reports observation. To address prevailing concerns, new line command proposed most effective means tackling these challenges. Additionally, general recommendations presented mitigate existing problems prevent classification Cartagena's "at risk" near future. provides scientific perspective, drawing upon years experience studying residing city, devoid political influences or conflicts interest.

Language: Английский

Citations

0

Mineral Element Identification in Remote Sensing Imagery: A Fusion Approach Using CH-Tucker Decomposition and RFDNet DOI Open Access
Xingyu Ding, Wenjun Hu,

Guanbing Hu

et al.

Traitement du signal, Journal Year: 2023, Volume and Issue: 40(4), P. 1501 - 1509

Published: Aug. 31, 2023

In the realm of geological and mineral exploration, remote sensing technology has emerged as a pivotal high-tech instrument.However, effective interpretation images, especially in context heterogeneous data processing, noise, identification fine granularity, remains challenge.In this study, novel method for elements within imagery was introduced.Firstly, feature tensor migration technique anchored on Coupled Heterogeneous Tucker Decomposition (CH-Tucker decomposition) presented.Through technique, multi-source were effectively processed fused.Notably, associated features from varying resolutions angles seamlessly coupled.Subsequently, an optical image processing model founded RFDNet network established.This demonstrated robustness against noise data, thereby enabling with higher degree granularity.The proposed methodology exhibited capacity to extract element information comprehensively remarkable accuracy.Thus, research offers both valuable theoretical insights practical evidence furtherance exploration.

Language: Английский

Citations

0