activity
20092022
most citedFilmy Cloud Removal on Satellite Imagery with Multispectral Conditional Generative Adversarial Nets

178 citations · 334 across the 13 of their papers we have counts for

collaborators

13 papers

cs.CV2022★ 1 cited

P2Net: A Post-Processing Network for Refining Semantic Segmentation of LiDAR Point Cloud based on Consistency of Consecutive Frames

Yutaka Momma, Weimin Wang, Edgar Simo-Serra +3

We present a lightweight post-processing method to refine the semantic segmentation results of point cloud sequences. Most existing methods usually segment frame by frame and encou…

cs.CV2020★ 5 cited

When CNNs Meet Random RNNs: Towards Multi-Level Analysis for RGB-D Object and Scene Recognition

Ali Caglayan, Nevrez Imamoglu, Ahmet Burak Can +1

Recognizing objects and scenes are two challenging but essential tasks in image understanding. In particular, the use of RGB-D sensors in handling these tasks has emerged as an imp…

cs.CV2020★ 31 cited

SOIC: Semantic Online Initialization and Calibration for LiDAR and Camera

Weimin Wang, Shohei Nobuhara, Ryosuke Nakamura +1

This paper presents a novel semantic-based online extrinsic calibration approach, SOIC (so, I see), for Light Detection and Ranging (LiDAR) and camera sensors. Previous online cali…

cs.CV2019

Salient object detection on hyperspectral images using features learned from unsupervised segmentation task

Nevrez Imamoglu, Guanqun Ding, Yuming Fang +3

Various saliency detection algorithms from color images have been proposed to mimic eye fixation or attentive object detection response of human observers for the same scenes. Howe…

cs.CV2018★ 3 cited

Rare Event Detection using Disentangled Representation Learning

Ryuhei Hamaguchi, Ken Sakurada, Ryosuke Nakamura

This paper presents a novel method for rare event detection from an image pair with class-imbalanced datasets. A straightforward approach for event detection tasks is to train a de…

cs.CV2018

Scale Estimation of Monocular SfM for a Multi-modal Stereo Camera

Shinya Sumikura, Ken Sakurada, Nobuo Kawaguchi +1

This paper proposes a novel method of estimating the absolute scale of monocular SfM for a multi-modal stereo camera. In the fields of computer vision and robotics, scale estimatio…

cs.CV2018★ 1 cited

Object Detection in Satellite Imagery using 2-Step Convolutional Neural Networks

Hiroki Miyamoto, Kazuki Uehara, Masahiro Murakawa +4

This paper presents an efficient object detection method from satellite imagery. Among a number of machine learning algorithms, we proposed a combination of two convolutional neura…

cs.CV2018★ 51 cited

Hyperspectral Image Dataset for Benchmarking on Salient Object Detection

Nevrez Imamoglu, Yu Oishi, Xiaoqiang Zhang +4

Many works have been done on salient object detection using supervised or unsupervised approaches on colour images. Recently, a few studies demonstrated that efficient salient obje…

cs.CV2017★ 17 cited

Dense Optical Flow based Change Detection Network Robust to Difference of Camera Viewpoints

Ken Sakurada, Weimin Wang, Nobuo Kawaguchi +1

This paper presents a novel method for detecting scene changes from a pair of images with a difference of camera viewpoints using a dense optical flow based change detection networ…

cs.CV2017★ 178 cited

Filmy Cloud Removal on Satellite Imagery with Multispectral Conditional Generative Adversarial Nets

Kenji Enomoto, Ken Sakurada, Weimin Wang +4

In this paper, we propose a method for cloud removal from visible light RGB satellite images by extending the conditional Generative Adversarial Networks (cGANs) from RGB images to…

cs.CV2017★ 1 cited

Object Detection of Satellite Images Using Multi-Channel Higher-order Local Autocorrelation

Kazuki Uehara, Hidenori Sakanashi, Hirokazu Nosato +3

The Earth observation satellites have been monitoring the earth's surface for a long time, and the images taken by the satellites contain large amounts of valuable data. However, i…

cs.CV2017

Solar Power Plant Detection on Multi-Spectral Satellite Imagery using Weakly-Supervised CNN with Feedback Features and m-PCNN Fusion

Nevrez Imamoglu, Motoki Kimura, Hiroki Miyamoto +2

Most of the traditional convolutional neural networks (CNNs) implements bottom-up approach (feed-forward) for image classifications. However, many scientific studies demonstrate th…

astro-ph.EP2009★ 46 cited

The Hayabusa Spacecraft Asteroid Multi-Band Imaging Camera: AMICA

Masateru Ishiguro, Ryosuke Nakamura, David J. Tholen +12

The Hayabusa Spacecraft Asteroid Multiband Imaging Camera (AMICA) has acquired more than 1400 multispectral and high-resolution images of its target asteroid, 25143 Itokawa, since…