activity
20142025
most citedA variational approach to stable principal component pursuit

55 citations · 56 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Learning to See More: UAS-Guided Super-Resolution of Satellite Imagery for Precision Agriculture

Arif Masrur, Peder A. Olsen, Paul R. Adler +4

Unmanned Aircraft Systems (UAS) and satellites are key data sources for precision agriculture, yet each presents trade-offs. Satellite data offer broad spatial, temporal, and spect…

cs.IR2024

Enabling Adoption of Regenerative Agriculture through Soil Carbon Copilots

Margaret Capetz, Swati Sharma, Rafael Padilha +4

Mitigating climate change requires transforming agriculture to minimize environ mental impact and build climate resilience. Regenerative agricultural practices enhance soil organic…

cs.CV20241 cited

Remote Sensing for Weed Detection and Control

Ishita Bansal, Peder Olsen, Roberto Estevão

Italian ryegrass is a grass weed commonly found in winter wheat fields that are competitive with winter wheat for moisture and nutrients. Ryegrass can cause substantial reductions…

cs.NI2024

Earth+: on-board satellite imagery compression leveraging historical earth observations

Kuntai Du, Yihua Cheng, Peder Olsen +3

With the increasing deployment of earth observation satellite constellations, the downlink (satellite-to-ground) capacity often limits the freshness, quality, and coverage of the i…

math.OC201455 cited

A variational approach to stable principal component pursuit

Aleksandr Aravkin, Stephen Becker, Volkan Cevher +1

We introduce a new convex formulation for stable principal component pursuit (SPCP) to decompose noisy signals into low-rank and sparse representations. For numerical solutions of…