output
20162026
most citedChange Detection in Heterogeneous Optical and SAR Remote Sensing Images via Deep Homogeneous Feature Fusion

100 citations

6 papers

physics.flu-dyn2026

Modeling the compressible flow field of an impulsively started circular cylinder with refined potential flow theory

Taofiq Omoniyi Amoloye, Leke Thaddeus Oladimeji, Mahmoud A. Hayajnh +1

New analytical model predicts how fluid flows around a cylinder at high speeds, capturing wake patterns, turbulence, and shock waves with less computation than full simulations.

astro-ph.EP2025★ 4 cited

Warm, water-depleted rocky exoplanets with surface ionic liquids: A proposed class for planetary habitability

Rachana Agrawal, Sara Seager, Iaroslav Iakubivskyi +6

The discovery of thousands of exoplanets and the emergence of telescopes capable of exoplanet atmospheric characterization have intensified the search for habitable worlds. Due to…

astro-ph.EP2025★ 13 cited

Prospects for Detecting Signs of Life on Exoplanets in the JWST Era

Sara Seager, Luis Welbanks, Lucas Ellerbroek +2

The search for signs of life in the Universe has entered a new phase with the advent of the James Webb Space Telescope (JWST). Detecting biosignature gases via exoplanet atmosphere…

cs.CV2020★ 100 cited

Change Detection in Heterogeneous Optical and SAR Remote Sensing Images via Deep Homogeneous Feature Fusion

Xiao Jiang, Gang Li, Yu Liu +2

Change detection in heterogeneous remote sensing images is crucial for disaster damage assessment. Recent methods use homogenous transformation, which transforms the heterogeneous…

eess.SP2019★ 18 cited

Distributed Detection of Sparse Stochastic Signals via Fusion of 1-bit Local Likelihood Ratios

Chengxi Li, You He, Xueqian Wang +2

In this letter, we consider the detection of sparse stochastic signals with sensor networks (SNs), where the fusion center (FC) collects 1-bit data from the local sensors and then…

cs.CV2016

Supervised multiview learning based on simultaneous learning of multiview intact and single view classifier

Qingjun Wang, Haiyan Lv, Jun Yue +1

Multiview learning problem refers to the problem of learning a classifier from multiple view data. In this data set, each data points is presented by multiple different views. In t…