Papers Remote Sensing Image Classification
“Remote Sensing Image Classification” 태그가 달린 논문 109편 · 필터 해제
RSI-CB: A Large Scale Remote Sensing Image Classification Benchmark via Crowdsource Data
In recent years, deep convolutional neural network (DCNN) has seen a breakthrough progress in natural image recognition because of three points: universal approximation ability via DCNN, large-scale database (such as Ima…
ClassificationGeneral ClassificationGPUimage-classification+2MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification
With the development of deep learning, supervised learning has frequently been adopted to classify remotely sensed images using convolutional networks (CNNs). However, due to the limited amount of labeled data available,…
ClassificationGeneral Classificationimage-classificationImage Classification+2Adaptive Deep Pyramid Matching for Remote Sensing Scene Classification
Convolutional neural networks (CNNs) have attracted increasing attention in the remote sensing community. Most CNNs only take the last fully-connected layers as features for the classification of remotely sensed images, …
ClassificationGeneral Classificationimage-classificationImage Classification+2Sparse Representation-Based Classification: Orthogonal Least Squares or Orthogonal Matching Pursuit?
Spare representation of signals has received significant attention in recent years. Based on these developments, a sparse representation-based classification (SRC) has been proposed for a variety of classification and re…
BenchmarkingClassificationFace RecognitionGeneral Classification+4Unsupervised Deep Feature Extraction for Remote Sensing Image Classification
This paper introduces the use of single layer and deep convolutional networks for remote sensing data analysis. Direct application to multi- and hyper-spectral imagery of supervised (shallow or deep) convolutional networ…
ClassificationGeneral Classificationimage-classificationImage Classification+3Remote sensing image classification exploiting multiple kernel learning
We propose a strategy for land use classification which exploits Multiple Kernel Learning (MKL) to automatically determine a suitable combination of a set of features without requiring any heuristic knowledge about the c…
ClassificationGeneral Classificationimage-classificationImage Classification+1An landcover fuzzy logic classification by maximumlikelihood
In present days remote sensing is most used application in many sectors. This remote sensing uses different images like multispectral, hyper spectral or ultra spectral. The remote sensing image classification is one of t…
ClassificationGeneral Classificationimage-classificationImage Classification+1Effective Features of Remote Sensing Image Classification Using Interactive Adaptive Thresholding Method
Remote sensing image classification can be performed in many different ways to extract meaningful features. One common approach is to perform edge detection. A second approach is to try and detect whole shapes, given the…
ClassificationCombinatorial OptimizationEdge Detectionfeature selection+4Advances in Hyperspectral Image Classification: Earth monitoring with statistical learning methods
Hyperspectral images show similar statistical properties to natural grayscale or color photographic images. However, the classification of hyperspectral images is more challenging because of the very high dimensionality …
Active LearningClassification Of Hyperspectral ImagesGeneral ClassificationHyperspectral Image Classification+3