Local low-rank matrix recovery for hyperspectral image denoising with ℓ0 gradient constraint

标题
Local low-rank matrix recovery for hyperspectral image denoising with ℓ0 gradient constraint
作者
关键词
Hyperspectral image (HSI), Low-rank matrix recovery, ℓ, 0, gradient, Nonconvex optimization, Denoising
出版物
PATTERN RECOGNITION LETTERS
Volume 135, Issue -, Pages 167-172
出版商
Elsevier BV
发表日期
2020-04-16
DOI
10.1016/j.patrec.2020.04.012

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now