Evaluation of dimensionality reduction techniques on hybrid CNN–based HSI classification

Swain, Satyajit; Banerjee, Anasua

doi:10.1007/s12517-021-09143-3

Cited by 6 publications

(1 citation statement)

References 23 publications

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“…Han employed CNN in NWPU VHR-10 satellite data for target recognition and achieve great performance (Han et al, 2020 ), and Yi proposed a novel approach based on probabilistic faster R-CNN for object detection (Yi et al, 2021 ). Chen presented DRSNet (Chen and Tsou, 2021 ), an architecture for image scene classification in low-resolution data, and Swain implemented dimensionality reduction techniques to hyperspectral data (Swain and Banerjee, 2021 ). Moreover, De Lima researched transfer learning in CNN-based classification in RS data (Pires de Lima and Marfurt, 2020 ).…”

Section: Related Studiesmentioning

confidence: 99%

Applying Digital Twins to Research the Relationship Between Urban Expansion and Vegetation Coverage: A Case Study of Natural Preserve

Zhao

Wang

et al. 2022

Front. Plant Sci.

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With the growth of the world population, cities expand and encroach on forests and plants, causing many environmental problems. Digital Twin, as the rapidly developing technique in recent years, provides the opportunity to implement the specific situation of forests and plants at present or in the future, which has great performance on predictive analysis and optimization. From the consideration of plants and forests, this study provides a comprehensive case study to research the relationship between urban development boundary and natural environment in a natural preserve in a coastal city. Multispectral data of the study area is collected by Unmanned Aerial Vehicle (UAV), combining satellite remote sensing (RS) historical data and geographic data to establish the digital twin model for plant identification. In conjunction with local Master planning of land use, the results of modeling are used to analyze the influences of urban construction on the natural environment, and the inappropriate aspects of the planning are discovered and summarized. In addition, 6 suggestions for effective management and planning strategies are presented. As plants and forests are effective factors of natural conditions, this study offered an objective assessment for the sustainability and rationality of urban planning with some guidance and bases.

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