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2018年SPIE CubeSats和NanoSats遥感会议（SPIE CubeSats and NanoSats for Remote Sensing II）
2018年 SPIE CubeSats NanoSats 遥感 会议
2017/10/30
Advances in electro-optic remote sensing technologies now enable measurements to be made in a fraction of the size once required in earlier systems. Miniaturization of critical instrument technologies...
2018年SPIE极化：测量，分析和遥感会议（SPIE Polarization:Measurement,Analysis,and Remote Sensing XIII）
2018年 SPIE 极化：测量，分析和遥感 会议
2017/10/30
This conference will encompass all aspects of polarization in the optical regime, from measurement and analysis of polarized light in materials, optical components and optical systems, to polarization...
第三届热带和亚热带遥感应用国际会议（3rd International Conference on Remote Sensing Applications in Tropical and Subtropical Areas）
第三届 热带和亚热带遥感应用 国际会议
2017/7/18
The 2nd Conference of the Digital Belt and Road (DBAR 2017) and the 3rd International Conference on Remote Sensing Applications in Tropical and Subtropical Areas (RSATSA 2017) will be held in Hong Kon...
2017 IEEE国际地球科学与遥感研讨会（2017 IEEE International Geoscience and Remote Sensing Symposium）
2017 IEEE 国际地球科学与遥感 研讨会
2017/7/18
We are less than 2 months away from IGARSS 2017, and the conference is shaping up nicely. Our technical program is set and available for review, and we look forward to welcoming our speakers, paper au...
A DETECTION METHOD OF ARTIFICIAL AREA FROM HIGH RESOLUTION REMOTE SENSING IMAGES BASED ON MULTI SCALE AND MULTI FEATURE FUSION
Artificial Areas Automatic Detection Geometric Features Visual Saliency Features Multi Scale Feature Fusion
2017/7/12
In order to solve the problem of automatic detection of artificial objects in high resolution remote sensing images, a method for detection of artificial areas in high resolution remote sensing images...
INTEGRATED USE OF REMOTE SENSING, GIS AND GPS TECHNOLOGY FOR MONITORING THE ENVIRONMENTAL PROBLEM OF SHYAMNAGAR
Environmental disaster Shrimp Agriculture Remote Sensing GIS GPS Classifications
2017/7/12
Cultivation of shrimp mostly in unplanned way has been considered as one of the major environmental disasters of Shamnagar. Villagers surrounding the rivers are mainly involved with fish (shrimp) cult...
OBJECT MANIFOLD ALIGNMENT FOR MULTI-TEMPORAL HIGH RESOLUTION REMOTE SENSING IMAGES CLASSIFICATION
High spatial resolution Segmentation Objects Superpixel Manifold alignment Multi-temporal Classification
2017/7/12
Multi-temporal remote sensing images classification is very useful for monitoring the land cover changes. Traditional approaches in this field mainly face to limited labelled samples and spectral drif...
MULTI-SCALE SEGMENTATION OF HIGH RESOLUTION REMOTE SENSING IMAGES BY INTEGRATING MULTIPLE FEATURES
High resolution remote sensing images multi-scale segmentation canny edge detector texture feature Mumford Shah–standard Kruskal algorithm
2017/7/12
Most of multi-scale segmentation algorithms are not aiming at high resolution remote sensing images and have difficulty to communicate and use layers’ information. In view of them, we proposes a metho...
REMOTE SENSING TECHNIQUES TO ASSESS POST-FIRE EFFECTS AT THE HILLSLOPE AND SUB-BASIN SCALES VIA MULTI-SCALE MODEL
Multiscale model log-Gaussian Cox processes hillslope micro-topography post-fire environment
2017/7/12
Post-fire environmental footprint is expected at varying scales in space and in time and demands development of multi-scale monitoring approaches. In this paper, a spatially and temporally explicit mu...
BUILDING EXTRACTION FROM REMOTE SENSING DATA USING FULLY CONVOLUTIONAL NETWORKS
deep learning DSM fully convolutional networks building footprint binary classification fully connected CRF
2017/7/13
Building detection and footprint extraction are highly demanded for many remote sensing applications. Though most previous works have shown promising results, the automatic extraction of building foot...
Learning Oriented Region-based Convolutional Neural Networks for Building Detection in Satellite Remote Sensing Images
VGG Building detection Deep learning OR-CNN Satellite remote sensing images
2017/7/13
The automated building detection in aerial images is a fundamental problem encountered in aerial and satellite images analysis. Recently, thanks to the advances in feature descriptions, Region-based C...
CHANGE DETECTION OF REMOTE SENSING IMAGES BY DT-CWT AND MRF
Change Detection DT-CWT MRF Multi-Scale Decomposition ICM Segmentation
2017/7/12
Aiming at the significant loss of high frequency information during reducing noise and the pixel independence in change detection of multi-scale remote sensing image, an unsupervised algorithm is prop...
PROCESSING BIG REMOTE SENSING DATA FOR FAST FLOOD DETECTION IN A DISTRIBUTED COMPUTING ENVIRONMENT
Distributed Computing Geospatial Big Data Cloud Computing Fast Flood detection Big Earth Observation Data
2017/8/10
The Earth observation (EO) missions of the space agencies and space industry (ESA, NASA, national and commercial companies) are evolving as never before. These missions aim to develop and launch next-...
MULTI-MODAL REMOTE SENSING DATA FUSION FRAMEWORK
Deep Learning Convolutional Neural Networks Super resolution Crowd-sourced data Data fusion
2017/8/10
The inconsistency between the freely available remote sensing datasets and crowd-sourced data from the resolution perspective forms a big challenge in the context of data fusion. In classical classifi...
2017SPIE地球科学与遥感中的高性能计算专题会议（High-Performance Computing in Geoscience and Remote Sensing）
2017 SPIE 地球科学与遥感中的高性能计算 专题会议
2017/4/26
Advances in sensor technology with higher spatial, spectral and temporal resolutions are revolutionizing the way remote sensing data are collected, managed and processed. Latest-generation instruments...