Smart city oriented remote sensing image fusion methods based on convolution sampling and spatial transformation

Wu, Shulei; Chen, Huandong

doi:10.1016/j.comcom.2020.04.010

Cited by 11 publications

(8 citation statements)

References 16 publications

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“…From the experimental results, we can conclude that the proposed fusion approach has superior performance compared to the state-of-the-art fusion methods. In future work, we will extend the algorithm to panchromatic and multispectral [ 43 , 44 , 45 , 46 , 47 , 48 ], hyperspectral and multispectral image fusion [ 49 , 50 ].…”

Section: Discussionmentioning

confidence: 99%

Saliency-Guided Nonsubsampled Shearlet Transform for Multisource Remote Sensing Image Fusion

2021

Sensors

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The rapid development of remote sensing and space technology provides multisource remote sensing image data for earth observation in the same area. Information provided by these images, however, is often complementary and cooperative, and multisource image fusion is still challenging. This paper proposes a novel multisource remote sensing image fusion algorithm. It integrates the contrast saliency map (CSM) and the sum-modified-Laplacian (SML) in the nonsubsampled shearlet transform (NSST) domain. The NSST is utilized to decompose the source images into low-frequency sub-bands and high-frequency sub-bands. Low-frequency sub-bands reflect the contrast and brightness of the source images, while high-frequency sub-bands reflect the texture and details of the source images. Using this information, the contrast saliency map and SML fusion rules are introduced into the corresponding sub-bands. Finally, the inverse NSST reconstructs the fusion image. Experimental results demonstrate that the proposed multisource remote image fusion technique performs well in terms of contrast enhancement and detail preservation.

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Section: Discussionmentioning

confidence: 99%

Saliency-Guided Nonsubsampled Shearlet Transform for Multisource Remote Sensing Image Fusion

2021

Sensors

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“…Remote sensing helps understand land use in its different forms and contexts, making it of crucial importance for assertive decision-making, which may interfere with mitigating actions for the recovery or conservation of a given location [5,10].…”

Section: Changes In Rural Areas Of the City Of Carazinho (Rs) Betweenmentioning

confidence: 99%

Changes in Rural Areas of the City of Carazinho (RS) between 2001 and 2020: A Temporal Analysis Using Landsat TM-7 and TM-8 Images

Neckel¹,

Maculan²,

Muller³

et al. 2020

JCEA

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The analysis of satellite images is of fundamental importance in relation to understanding the evolution in land use. The general objective of this study is to analyze the changes in characteristics of rural land use in the municipality of Carazinho (RS) from 2001 to 2020 through the analysis of images taken from the Landsat TM-7 and TM-8 satellites. The TM-7 and TM-8 satellite images were classified and supervised, thus generation thematic maps with the following groups: tillage, forest, water resources and exposed soil. The analysis of this study showed that in 2001 the tillage group had an area of 10,651.6 ha, the forest group had an area of 7,248.03 ha, the water resources group occupied an area of 1,444.96 ha, and the exposed soil group occupied an area of 6,798.75 ha. When using the images taken in 2020, the same area presented the following data: the tillage group with an area of 15,941.5 ha. (60.95%), the forest group with an area of 4,320.99 ha (16.52%), water resources group with an area of 141.02 ha (0.53%), and the exposed soil group with an area of 5,747.22 ha (21.97%). The results demonstrate changes in land use during the study period, mainly with regard to the increase of cultivation areas and, consequently, the suppression of vegetation.

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“…Parks in the South of Brazil 610 the sustainable development of urban spaces, significantly improving the quality of life and decreasing transportation costs [13][14][15]. It is known that the urban environment can influence the walking behavior due to the presence of green areas in these routes, which have the purpose of meeting the multiple needs of the population [16,17]. The general objective of this study is to understand and compare the functionality of space syntax in relation to connectivity, integration and choice of axial routes of urban parks in the city of Porto Alegre, in the state of Rio Grande do Sul, south of Brazil.…”

Section: Post-occupancy Evaluation (Poe) Using Space Syntax: a Case Smentioning

confidence: 99%

Post-Occupancy Evaluation (POE) Using Space Syntax: A Case Study of Urban Parks in the South of Brazil

Neckel¹,

Maculan²,

Breda³

et al. 2020

JCEA

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Smart city oriented remote sensing image fusion methods based on convolution sampling and spatial transformation

Cited by 11 publications

References 16 publications

Saliency-Guided Nonsubsampled Shearlet Transform for Multisource Remote Sensing Image Fusion

Saliency-Guided Nonsubsampled Shearlet Transform for Multisource Remote Sensing Image Fusion

Changes in Rural Areas of the City of Carazinho (RS) between 2001 and 2020: A Temporal Analysis Using Landsat TM-7 and TM-8 Images

Post-Occupancy Evaluation (POE) Using Space Syntax: A Case Study of Urban Parks in the South of Brazil

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