Mangrove Extraction Algorithm Based on Orthogonal Matching Filter-Weighted Least Squares DOI Creative Commons

Yongze Li,

Jin Ma,

Dongyang Fu

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(22), P. 7224 - 7224

Published: Nov. 12, 2024

High-precision extraction of mangrove areas is a crucial prerequisite for estimating area as well regional planning and ecological protection. However, mangroves typically grow in coastal near-shore with complex water colors, where traditional algorithms face challenges such unclear region segmentation insufficient accuracy. To address this issue, paper we propose new algorithm identification based on Orthogonal Matching Filter-Weighted Least Squares (OMF-WLS) target spectral information. This method first selects GF-6 remote sensing images less cloud cover, then enhances feature information through preprocessing band extension, combining whitened orthogonal subspace projection the matching filter algorithm. Notably, innovatively introduces Weighted (WLS) filtering technology. WLS precisely processes high-frequency noise edge details using an adaptive weighting matrix, significantly improving clarity overall quality images. innovative approach overcomes bottleneck methods effectively extracting against color backgrounds. Finally, Otsu's used threshold to achieve areas. Our experimental results show that OMF-WLS improves accuracy compared methods, precision increasing from 0.95702 0.99366 Kappa coefficient rising 0.88436 0.98233. In addition, our proposed provides significant improvements other metrics, demonstrating better performance. These findings can provide more reliable technical support monitoring protection resources.

Language: Английский

Soil Health and Ecosystem Services in Mangrove Forests: A Global Overview DOI Open Access
Fellipe Alcântara de Oliveira Mello, Tiago Osório Ferreira, Ângelo F. Bernardino

et al.

Water, Journal Year: 2024, Volume and Issue: 16(24), P. 3626 - 3626

Published: Dec. 17, 2024

This study analyzed the role of soil health (SH) and ecosystem services (ESs) in global mangrove research articles from 1958 to 2024. The SH approach is vital for evaluating mangroves’ ability provide ES. However, most studies made no reference these topics, an important gap that must be addressed. We performed a systematic literature review Scopus database using following prompts: Level 1: “mangrove*” “soil” or “sediment”; 2: “soil health” quality”; 3: quality” “ecosystem service*” “ecologic* service*”. A total 8289 scientific were published explored soils sediments, which 321 included discussion SH, 39 discussed There historical preference term “sediment” marine sciences. Carbon studied topic. Six fifteen productive countries are also among with largest areas. regarding link recommend development index fully adapted mangroves, considering their physical geochemical dynamics, climate conditions, anthropic relevance.

Language: Английский

Citations

1
Soil greenhouse gas fluxes partially reduce the net gains in carbon sequestration in mangroves of the Brazilian Amazon DOI
Ângelo F. Bernardino, Hermano Melo Queiroz, Gabriel Nuto Nóbrega

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: 263, P. 120102 - 120102

Published: Oct. 3, 2024

Language: Английский

Citations

0
Mangrove Extraction Algorithm Based on Orthogonal Matching Filter-Weighted Least Squares DOI Creative Commons

Yongze Li,

Jin Ma,

Dongyang Fu

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(22), P. 7224 - 7224

Published: Nov. 12, 2024

High-precision extraction of mangrove areas is a crucial prerequisite for estimating area as well regional planning and ecological protection. However, mangroves typically grow in coastal near-shore with complex water colors, where traditional algorithms face challenges such unclear region segmentation insufficient accuracy. To address this issue, paper we propose new algorithm identification based on Orthogonal Matching Filter-Weighted Least Squares (OMF-WLS) target spectral information. This method first selects GF-6 remote sensing images less cloud cover, then enhances feature information through preprocessing band extension, combining whitened orthogonal subspace projection the matching filter algorithm. Notably, innovatively introduces Weighted (WLS) filtering technology. WLS precisely processes high-frequency noise edge details using an adaptive weighting matrix, significantly improving clarity overall quality images. innovative approach overcomes bottleneck methods effectively extracting against color backgrounds. Finally, Otsu's used threshold to achieve areas. Our experimental results show that OMF-WLS improves accuracy compared methods, precision increasing from 0.95702 0.99366 Kappa coefficient rising 0.88436 0.98233. In addition, our proposed provides significant improvements other metrics, demonstrating better performance. These findings can provide more reliable technical support monitoring protection resources.

Language: Английский

Citations

0