2022
DOI: 10.1080/01431161.2022.2122893
|View full text |Cite
|
Sign up to set email alerts
|

Multi-criteria evaluation of the shadow index performance of Landsat 8 OLI images

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 37 publications
0
1
0
Order By: Relevance
“…Currently, hillshade extraction methods employ either graphics methods or modeling approaches [5]- [7]. Graphic methods usually use remote sensing images to identify shadows through processes such as thresholding [8], edge detection [7], and region growth [9]. Various indices, including the Combinational Shadow Index (CSI) [10], Shadow Detector Index (SDI) [11], and Shadow Enhancement Index (SEI) [10], have been established within this context.…”
Section: Introductionmentioning
confidence: 99%
“…Currently, hillshade extraction methods employ either graphics methods or modeling approaches [5]- [7]. Graphic methods usually use remote sensing images to identify shadows through processes such as thresholding [8], edge detection [7], and region growth [9]. Various indices, including the Combinational Shadow Index (CSI) [10], Shadow Detector Index (SDI) [11], and Shadow Enhancement Index (SEI) [10], have been established within this context.…”
Section: Introductionmentioning
confidence: 99%