IEEE

Land Cover Segmentation for Agricultural Monitoring Using Synthetic Aperture Radar (SAR) Imagery with Convolutional Neural Networks and Attention-Based Transformer Models

Abstract: Automated classification of land cover types is one of the most crucial aspects within many remote sensing applications, including the monitoring of agricultural land and territories. This ...
GitHub

MAESTRO: Masked Autoencoders for Multimodal, Multitemporal, and Multispectral Earth Observation Data

MAESTRO_FLAIR-HUB_base — pre-trained on FLAIR-HUB MAESTRO_S2-NAIP-urban_base — pre-trained on S2-NAIP-urban Land cover segmentation in France, with 12 semantic classes. Note that the FLAIR#2 version ...
Roger Ebert

Cover-Up

The Washington Post’s long-running exposé on the burglary of the Democratic National Committee’s office in the Watergate Hotel not only brought down a sitting President, forcing Richard Nixon’s ...
IEEE

TESA-Net: A Novel Triplet Attention-Enhanced Skip Atrous Network for Urban Land Use and Land Cover Segmentation using SAR

Abstract: This paper introduces a novel Triplet Attention-Enhanced Skip Atrous Network designed exclusively for SAR (Synthetic Aperture Radar) data-based land use and land cover (LULC) segmentation.
Search Engine Land

How to boost ROAS like La Maison Simons

Managing large catalogs in Google Performance Max can feel like handing the algorithm your wallet and hoping for the best. La Maison Simons faced that exact challenge: too many products and not enough ...