ORSIm Detector: A Novel Object Detection Framework in Optical Remote
Sensing Imagery Using Spatial-Frequency Channel Features

ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features

23 January 2019

Jocelyn Chanussot

Papers citing "ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features"

8 / 8 papers shown

Title
Learnable Manifold Alignment (LeMA) : A Semi-supervised Cross-modality Learning Framework for Land Cover and Land Use Classification Danfeng Hong Naoto Yokoya N. Ge Jocelyn Chanussot Xiaoxiang Zhu 31 215 0 09 Jan 2019
CoSpace: Common Subspace Learning from Hyperspectral-Multispectral Correspondences Danfeng Hong Naoto Yokoya Jocelyn Chanussot Xiaoxiang Zhu 30 195 0 30 Dec 2018
An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing Danfeng Hong Naoto Yokoya Jocelyn Chanussot Xiaoxiang Zhu 17 708 0 29 Oct 2018
Joint & Progressive Learning from High-Dimensional Data for Multi-Label Classification Danfeng Hong Naoto Yokoya Jian Xu Xiaoxiang Zhu 14 42 0 15 Aug 2018
YOLO9000: Better, Faster, Stronger Joseph Redmon Ali Farhadi VLM ObjD 114 15,535 0 25 Dec 2016
A Survey on Object Detection in Optical Remote Sensing Images Gong Cheng Junwei Han ObjD 15 1,172 0 20 Mar 2016
Dynamical spectral unmixing of multitemporal hyperspectral images S. Henrot Jocelyn Chanussot Christian Jutten 26 78 0 14 Oct 2015
Aggregate channel features for multi-view face detection Binh Yang Junjie Yan Zhen Lei Stan Z. Li 3DH CVBM 33 315 0 15 Jul 2014