Abstract: Aerial image classification plays a vital role in applications such as building footprint extraction, water/soil analysis, 3D reconstruction. Accurate classification enables timely ...
Abstract: This paper proposes an approach that integrates a Convolutional Neural Network (CNN) with the Constrained Admissible Region (CAR) method to improve tracklet association in cislunar space.
(CNN) — Reps. Al Green and Christian Menefee will head to a Democratic primary runoff for Texas’ redrawn 18th District, according to a projection from CNN’s Decision Desk. Neither Green nor Menefee ...
Abstract: The Land Use (LU) classification of remote sensing (RS) images has broad applications in various fields. In recent years, hybrid CNN-Transformer models have been widely applied to the LU ...
Pharr, Texas (CNN) — Tejano singer Bobby Pulido will win the Democratic primary for Texas’ 15th Congressional District, CNN projects, defeating emergency room physician Ada Cuellar. Pulido will face ...
Abstract: In this article, we propose a lightweight privacy-preserving convolutional neural network (LPP-CNN) framework for military vehicle image classification. Existing target classification ...
(CNN) — A federal judge on Thursday rejected the nation’s top historic preservation group’s attempt to block to President Donald Trump’s White House ballroom project, but also suggested a possible ...
For nearly a month, the Justice Department failed to take down more than a dozen images in the Epstein files that should have been redacted, including pictures of a young girl kissing Jeffrey Epstein ...
Abstract: The scarcity of labeled samples results in the challenge of small sample size in hyperspectral image (HSI) classification. Transfer learning offers hope for solving this problem. In ...
Abstract: Deep learning (DL) has advanced hyperspectral image classification (HSIC), but label scarcity remains a significant challenge. Traditional unimodal methods usually produce unstable ...
Abstract: This accurate forecasting is essential for public safety, agriculture, transportation. Traditional weather forecasting methods mostly depend on physical simulations and mathematical models.