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[PDF] Top 20 Advanced Techniques for the Classification of Very High Resolution and Hyperspectral Remote Sensing Images

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Advanced Techniques for the Classification of Very High Resolution and Hyperspectral Remote Sensing Images

Advanced Techniques for the Classification of Very High Resolution and Hyperspectral Remote Sensing Images

... in classification of very high resolution images With the availability of VHR images acquired by satellite multispectral scanners, it is possi- ble to acquire detailed ... See full document

158

Aircraft Identification in High Resolution Remote Sensing Images using Shape Analysis

Aircraft Identification in High Resolution Remote Sensing Images using Shape Analysis

... Otsu segmentation, Template matching model and Connected component analysis was utilized effectively for enhancing a segmented regions and tracking target objects. Finally the experimental results show that our ... See full document

7

Applications of Hyperspectral Remote Sensing in Ground Object Identification and Classification

Applications of Hyperspectral Remote Sensing in Ground Object Identification and Classification

... In remote sensing imaging systems, spatial resolution and spectral resolution are often not available at the same ...the hyperspectral imaging system is narrow and a large instantaneous ... See full document

12

Multisource and multitemporal data fusion in remote sensing:A comprehensive review of the state of the art

Multisource and multitemporal data fusion in remote sensing:A comprehensive review of the state of the art

... Since remote sensing data have significantly different properties from those of social media data, typical data fusion methods cannot be exploited directly for com- bining remote sensing and ... See full document

26

Refining Land-Cover Classification Maps Based on Dual-Adaptive Majority Voting Strategy for Very-High-Resolution Remote Sensing Images

Refining Land-Cover Classification Maps Based on Dual-Adaptive Majority Voting Strategy for Very-High-Resolution Remote Sensing Images

... the classification accuracy [35-37]. Several post-classification methods have been ...a classification problem by using remote sensing ... See full document

19

A Review of Machine Learning for Hyperspectral Image Applications

A Review of Machine Learning for Hyperspectral Image Applications

... advance techniques used in remote sensing ...applications. Hyperspectral image which is different than multispectral imaging is a high dimensional image whose analysis is ...complex. ... See full document

6

A new approach for Classifying land development in High-Resolution Remote Sensing Images

A new approach for Classifying land development in High-Resolution Remote Sensing Images

... Thresholding is one of the first low-level image processing techniques used, before document analysis step, for obtaining a binary image from its gray scale one. The thresholding step can be quite critical in that ... See full document

8

Advanced Techniques based on Mathematical Morphology for the Analysis of Remote Sensing Images

Advanced Techniques based on Mathematical Morphology for the Analysis of Remote Sensing Images

... optical images is attracting increas- ing attention from the remote sensing community thanks to the recent availability of commercial very high resolution (VHR) ...VHR ... See full document

185

Advances in Scene Classification of Remotely Sensed High Resolution Images and the Existing Datasets

Advances in Scene Classification of Remotely Sensed High Resolution Images and the Existing Datasets

... Scene classification of remotely sensed images has shown a significant improvement in the recent years as it is used in various applications such as urban planning, urban mapping, management of natural ... See full document

5

Remote sensing of mangrove composition and structure in the Galapagos Islands

Remote sensing of mangrove composition and structure in the Galapagos Islands

... a high vertical accuracy in flat terrain (Gorokhovich and Voustianiouk, 2006) but has a coarse resolution ...InSAR techniques, the spatial resolution is potentially much higher, especially ... See full document

168

A Comparative Study of Active-Learning Techniques for Classification of Remote Sensing Images

A Comparative Study of Active-Learning Techniques for Classification of Remote Sensing Images

... The Salinas scene was also collected by the 224- band AVIRIS sensor over Salinas Valley, California, and is characterized by high spatial resolution (3.7-meter pixels). The area covered comprises 512 lines ... See full document

8

High spatial resolution and hyperspectral remote sensing for mapping vegetation species in tropical rainforest

High spatial resolution and hyperspectral remote sensing for mapping vegetation species in tropical rainforest

... using high spatial resolution IKONOS-2 and digital Color Infrared (CIR) Aerial Photos (spatial resolution 4 m for IKONOS-2 and 20 cm for CIR) and Hyperion Hyperspectral data (spectral ... See full document

58

Kernel Principal Component Analysis for the Classification of Hyperspectral Remote Sensing Data over Urban Areas

Kernel Principal Component Analysis for the Classification of Hyperspectral Remote Sensing Data over Urban Areas

... the classification of remote sensing data: the use of spatial ...information. High-resolution hyperspectral data from urban areas provide both detailed spatial and spectral ...of ... See full document

14

Spatial and Temporal Variability of Moisture Condition in Soil-Plant Environmet using Spectral Data and GIS Tools

Spatial and Temporal Variability of Moisture Condition in Soil-Plant Environmet using Spectral Data and GIS Tools

... Currently, remote sensing techniques are rapidly ...satellite remote sensing in the spectral and spatial resolution are observed – from NOAA (National Oceanic and Atmospheric ... See full document

9

Learning Multi Modality Features for Scene Classification of High Resolution Remote Sensing Images

Learning Multi Modality Features for Scene Classification of High Resolution Remote Sensing Images

... 2.2. Classification by Stack Auto-Encoder Reconstruction Error After obtaining the concatenated FV feature, we conduct the classification in the view of reconstruction error, which is illustrated in Figure ... See full document

9

Detection and Removal of Shadow Using Very High Resolution Remote Sensing Images

Detection and Removal of Shadow Using Very High Resolution Remote Sensing Images

... in very high resolution (VHR) Remote Sensing images represent serious problems for their full ...in very high resolution (VHR) Remote Sensing ... See full document

7

An Enhanced Framework for Change Detection in Very High Resolution Remote Sensing Images

An Enhanced Framework for Change Detection in Very High Resolution Remote Sensing Images

... The remote sensing (RS) data has become a major source for CD studies because of its high temporal frequency, suitable digital format computation, synoptic view, and wider selection of spatial and ... See full document

8

A Review on Aircraft Detection Techniques and Feature Extraction Algorithms using Digital Image Processing

A Review on Aircraft Detection Techniques and Feature Extraction Algorithms using Digital Image Processing

... Experiments show that this method provides a promising way to detect airplanes in complex airport scenes. We use a low cost bottom-up saliency computation and MSER detection algorithm to yield initial ROIs [5]. The main ... See full document

7

A comparative study of noise removal from High Resolution Remote Sensing Images

A comparative study of noise removal from High Resolution Remote Sensing Images

... of high resolution commercial satellites. It is very important especially for the military ...Satellite images may have unwanted signals (noise) in addition to useful information due to ... See full document

14

Online HealthCare Decision Support System

Online HealthCare Decision Support System

... encryption techniques like DES, Triple-DES and IDEA ...for images and is recommended by many researchers [7 ...chaos-based techniques have many proper-ties to achieve high security level in ... See full document

14

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