A texture-based classification algorithm with histograms of oriented gradients for ALOS/PRISM panchromatic imagery

Anahara, Takuma

doi:10.1109/igarss.2015.7326462

Search citation statements

Order By: Relevance

Paper Sections

Select...

What Is a Color/spectral Gradient?1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2019

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is opposed to noise that can be defined as a spatial distribution of high gradient without coherence. Indeed, this property is used to define texture features based on histograms of local gradients in the visible range [7] or outside the visible range [8]. : Difference between existing approaches and a gradient taking into account the sensor characteristics: the full-vector gradient (FVG).…”

Section: What Is a Color/spectral Gradient?mentioning

confidence: 99%

Gradient in spectral and color images: from the Di Zenzo initial construction to a generic proposition

et al. 2019

View full text Add to dashboard Cite

In this paper, we define a generic gradient for color and spectral images, in regards to a proposed taxonomy of the state of the art. The full-vector gradient, taking into account the sensor's characteristics, respects the metrological properties of genericity, robustness and reproducibility. We construct a protocol to compare gradients from different sensors. The comparison is developed simulating sensors using their spectral characteristics. We develop three experiments using this protocol. The first one shows the results consistency for similar sensors. The second one demonstrates the genericity of the approach, adapted to any kind of imaging sensors. The last one focuses on the channel inter-correlation considering sensors as in the color vision deficiency case.

show abstract

Section: What Is a Color/spectral Gradient?mentioning

confidence: 99%