Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759858
Mehran Yahyavi, Arian Ghajarzadeh, M. H. Nezhad
Detecting DTMF signals through efficient methods is important to develop telecommunication equipments. In this study, we propose detection of DTMF signals for 64 subscribers by XC56309PV100 (MOTOROLA) simultaneously. Generally, DTMF signals are created on switch-board of telephone with the combination of two frequency groups. There are various methods for detecting DTMF signals such as using GOERTZEL algorithm which is used for Discrete Fourier Transform (DFT). According to this research, different ports of ESSI, HOST interface and also suitable modes have been used to detect the tones. In conclusion, we achieved appropriate improvement by using techniques to find out the MIPS rate which is equal to 3.
{"title":"An improvement of MIPS rate in detection of DTMF signals of 64 subscribers using GOERTZEL's algorithm","authors":"Mehran Yahyavi, Arian Ghajarzadeh, M. H. Nezhad","doi":"10.1109/CSPA.2011.5759858","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759858","url":null,"abstract":"Detecting DTMF signals through efficient methods is important to develop telecommunication equipments. In this study, we propose detection of DTMF signals for 64 subscribers by XC56309PV100 (MOTOROLA) simultaneously. Generally, DTMF signals are created on switch-board of telephone with the combination of two frequency groups. There are various methods for detecting DTMF signals such as using GOERTZEL algorithm which is used for Discrete Fourier Transform (DFT). According to this research, different ports of ESSI, HOST interface and also suitable modes have been used to detect the tones. In conclusion, we achieved appropriate improvement by using techniques to find out the MIPS rate which is equal to 3.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114704837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759887
M. Faghih, H. Pourghassem
There are different methods to interpolate a zoomed image such as nearest neighbor, bilinear, bicubic, adaptive interpolation and so on. These methods works on grayscale value of pixels so we name them pixel based methods. In this paper, we propose a line based method. In this method, an improved scheme of radon transform is used to convert image from dot domain into line domain. In the line domain, enlargement and interpolation is carried out and then interpolated image returns to dot domain. The proposed algorithm provides interpolated image with smooth and non-checker boundaries. The proposed algorithm obtains the better results in the images with long straight lines.
{"title":"A novel interpolation method using radon transform","authors":"M. Faghih, H. Pourghassem","doi":"10.1109/CSPA.2011.5759887","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759887","url":null,"abstract":"There are different methods to interpolate a zoomed image such as nearest neighbor, bilinear, bicubic, adaptive interpolation and so on. These methods works on grayscale value of pixels so we name them pixel based methods. In this paper, we propose a line based method. In this method, an improved scheme of radon transform is used to convert image from dot domain into line domain. In the line domain, enlargement and interpolation is carried out and then interpolated image returns to dot domain. The proposed algorithm provides interpolated image with smooth and non-checker boundaries. The proposed algorithm obtains the better results in the images with long straight lines.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129454493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759838
K. Kipli, Shankar Krishnan, N. Zamhari, M. Muhammad, S. Masra, Kho Lee Chin, K. Lias
This paper mainly aims to study the performance of objective assessment methods of image quality. It take into consideration the correlations between each objective assessment and the subjective assessment in order to determine objective test performance. Three objective assessment methods used in this study are the Structural Similarity (SSIM) index, the Peak Signal-to-Noise Ratio (PSNR) and the Mean Squared Error (MSE) calculating algorithm. The resulting data indicate what type of objective assessment was most suitable for which type of impairment imposed upon an image. This is clarified using the Pearson Correlation Coefficient as described in the paper. As an overall, SSIM index had the best correlation characteristics to the subjective assessment, followed by the MSE calculating algorithm. From this study, a better understanding of the requirements for developing an efficient image quality assessment method was gained.
{"title":"Full reference image quality metrics and their performance","authors":"K. Kipli, Shankar Krishnan, N. Zamhari, M. Muhammad, S. Masra, Kho Lee Chin, K. Lias","doi":"10.1109/CSPA.2011.5759838","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759838","url":null,"abstract":"This paper mainly aims to study the performance of objective assessment methods of image quality. It take into consideration the correlations between each objective assessment and the subjective assessment in order to determine objective test performance. Three objective assessment methods used in this study are the Structural Similarity (SSIM) index, the Peak Signal-to-Noise Ratio (PSNR) and the Mean Squared Error (MSE) calculating algorithm. The resulting data indicate what type of objective assessment was most suitable for which type of impairment imposed upon an image. This is clarified using the Pearson Correlation Coefficient as described in the paper. As an overall, SSIM index had the best correlation characteristics to the subjective assessment, followed by the MSE calculating algorithm. From this study, a better understanding of the requirements for developing an efficient image quality assessment method was gained.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126347840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759835
N. Nor, N. M. Bunnori, A. Ibrahim, S. Shahidan, S. N. M. Saliah
This paper is presented an investigation on acoustic wave velocity of reinforced concrete beam in-plane source based on AE waveform analysis. Pencil Lead Fracture (PLF) was used to generate sudden release of stress at selected source location. Three threshold levels were considered for determining wave velocity in RC beam. It can be concluded that the wave velocity was dependent to the threshold levels, high threshold level would prolong the TOA of the wave and the velocity would be reduced; which the wave travels in the RC beam at velocities in the range 2410 m/s to 4000 m/s. The wave velocity also decreased as the distance from individual sensor to synchronize sensors increased.
{"title":"An investigation on acoustic wave velocity of reinforced concrete beam in-plane source","authors":"N. Nor, N. M. Bunnori, A. Ibrahim, S. Shahidan, S. N. M. Saliah","doi":"10.1109/CSPA.2011.5759835","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759835","url":null,"abstract":"This paper is presented an investigation on acoustic wave velocity of reinforced concrete beam in-plane source based on AE waveform analysis. Pencil Lead Fracture (PLF) was used to generate sudden release of stress at selected source location. Three threshold levels were considered for determining wave velocity in RC beam. It can be concluded that the wave velocity was dependent to the threshold levels, high threshold level would prolong the TOA of the wave and the velocity would be reduced; which the wave travels in the RC beam at velocities in the range 2410 m/s to 4000 m/s. The wave velocity also decreased as the distance from individual sensor to synchronize sensors increased.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128049414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759892
M. A. Yusnita, M. Paulraj, S. Yaacob, Shahriman Abu Bakar, A. Saidatul, A. N. Abdullah
In this paper speech theories and some methodological concerns about feature extraction and classification techniques widely used in speech recognition system are surveyed and discussed. The shortage of isolated word speech recognition is addressed as compared to its phoneme-based counterpart. This paper could be regarded as a very early stage towards methodology establishment in searching for better accuracy and less complexity system which has more generic properties. It is hoped that the system can classify speech regardless of the varieties across languages or accents. Speaker independency (SI) manner speech recognition system is required for this application and in fact, in many other potential applications as much as a telephonic network (large database consists of many different speakers) is a primary requirement. Isolated-word ASR for fixed vocabularies has been successfully implemented using HMM, ANN and SVM but suffers from lack of adaptability to other languages and increase in complexity as number of vocabularies increases. Conversely, phonemes, the smallest unit of human speech sounds are apparently more feasible to represent the basic building block for cross-language mapping. In fact, the phonetic transcription systems such as IPA and SAMPA are widely recognized and standardized for several languages in the world. This paper intends to investigate the phoneme-based potential as language independent phonetic units to overcome the lack of available training data so as to achieve a more generic speech recognizer.
{"title":"Phoneme-based or isolated-word modeling speech recognition system? An overview","authors":"M. A. Yusnita, M. Paulraj, S. Yaacob, Shahriman Abu Bakar, A. Saidatul, A. N. Abdullah","doi":"10.1109/CSPA.2011.5759892","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759892","url":null,"abstract":"In this paper speech theories and some methodological concerns about feature extraction and classification techniques widely used in speech recognition system are surveyed and discussed. The shortage of isolated word speech recognition is addressed as compared to its phoneme-based counterpart. This paper could be regarded as a very early stage towards methodology establishment in searching for better accuracy and less complexity system which has more generic properties. It is hoped that the system can classify speech regardless of the varieties across languages or accents. Speaker independency (SI) manner speech recognition system is required for this application and in fact, in many other potential applications as much as a telephonic network (large database consists of many different speakers) is a primary requirement. Isolated-word ASR for fixed vocabularies has been successfully implemented using HMM, ANN and SVM but suffers from lack of adaptability to other languages and increase in complexity as number of vocabularies increases. Conversely, phonemes, the smallest unit of human speech sounds are apparently more feasible to represent the basic building block for cross-language mapping. In fact, the phonetic transcription systems such as IPA and SAMPA are widely recognized and standardized for several languages in the world. This paper intends to investigate the phoneme-based potential as language independent phonetic units to overcome the lack of available training data so as to achieve a more generic speech recognizer.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132217090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759886
A. Zabidi, W. Mansor, Yoot Khuan Lee, I. Yassin, R. Sahak
The infant cry signals with asphyxia have distinct patterns which can be recognized using pattern classifiers such as Artificial Neural Network (ANN). This study investigates the effect of selecting infant cry features using the Binary Particle Swarm Optimization on the performance of Multilayer Perceptron (MLP) classifier in discriminating between healthy and infants with asphyxia from cry signals. The feature extraction process was performed by MFCC analysis. The MLP classifier performance was examined using various combination of number of coefficients. It was found that the BPSO helps to enhance the classification accuracy of MLP classifier while reducing the computational load. The highest MLP classification accuracy achieved was 95.07%, which was obtained when 26 MFCC filter banks, 14 selected MFC coefficients and 5 hidden nodes were used.
{"title":"Binary Particle Swarm Optimization for selection of features in the recognition of infants cries with asphyxia","authors":"A. Zabidi, W. Mansor, Yoot Khuan Lee, I. Yassin, R. Sahak","doi":"10.1109/CSPA.2011.5759886","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759886","url":null,"abstract":"The infant cry signals with asphyxia have distinct patterns which can be recognized using pattern classifiers such as Artificial Neural Network (ANN). This study investigates the effect of selecting infant cry features using the Binary Particle Swarm Optimization on the performance of Multilayer Perceptron (MLP) classifier in discriminating between healthy and infants with asphyxia from cry signals. The feature extraction process was performed by MFCC analysis. The MLP classifier performance was examined using various combination of number of coefficients. It was found that the BPSO helps to enhance the classification accuracy of MLP classifier while reducing the computational load. The highest MLP classification accuracy achieved was 95.07%, which was obtained when 26 MFCC filter banks, 14 selected MFC coefficients and 5 hidden nodes were used.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124284360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759882
K. H. Talib, M. Othman, SAIFUL AMAN Bin HJ SULAIMAN, M. Wazir, A. Azizan
Acoustic sound, navigation and ranging (SONAR) is commonly used for underwater measurement applications. The most popular underwater applications using acoustic sonar is bathymetry surveying, which echo sounder is used to a measured depth. Depths in acoustic sonar are computed based on sonar equation. In sonar equation, elapsed time from a sensor transmitting sonar wave to the bottom and reflected back to the sensor were measured. The main parameter contributing in computation of depth using acoustic sonar are travel time and speed of sound (SOS). If SOS is accurately known, depth can be accurately determined. However, SOS values are subjected to temperature, salinity and density. There are various equipments and formula can be used to determine SOS accurately. This paper will discuss on field observation of SOS with specific types of water categories (sea water, estuary and fresh water) and compare the value between computed SOS using empirical equations and observed SOS.
{"title":"Determination of speed of sound using empirical equations and SVP","authors":"K. H. Talib, M. Othman, SAIFUL AMAN Bin HJ SULAIMAN, M. Wazir, A. Azizan","doi":"10.1109/CSPA.2011.5759882","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759882","url":null,"abstract":"Acoustic sound, navigation and ranging (SONAR) is commonly used for underwater measurement applications. The most popular underwater applications using acoustic sonar is bathymetry surveying, which echo sounder is used to a measured depth. Depths in acoustic sonar are computed based on sonar equation. In sonar equation, elapsed time from a sensor transmitting sonar wave to the bottom and reflected back to the sensor were measured. The main parameter contributing in computation of depth using acoustic sonar are travel time and speed of sound (SOS). If SOS is accurately known, depth can be accurately determined. However, SOS values are subjected to temperature, salinity and density. There are various equipments and formula can be used to determine SOS accurately. This paper will discuss on field observation of SOS with specific types of water categories (sea water, estuary and fresh water) and compare the value between computed SOS using empirical equations and observed SOS.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"2020 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123392407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759883
Neha Hanif, M. Y. Mashor, Z. Mohamed
This paper present the results of applying dark stretching technique to enhance and segment the Plasmodium Falciparum based on thick blood smear images. Image enhancement is the process to improve the quality (clarity) of images for human viewing. Removing blurring and noise, increasing contrast, and revealing details are examples of enhancement operations. Reducing the noise and blurring and increasing the contrast range could enhance the image. The original image might have areas of very high and very low intensity, which mask details. Segmentation is to cluster pixels into salient image regions, i.e., regions corresponding to individual surfaces, objects, or natural parts of objects.
{"title":"Image enhancement and segmentation using dark stretching technique for Plasmodium Falciparum for thick blood smear","authors":"Neha Hanif, M. Y. Mashor, Z. Mohamed","doi":"10.1109/CSPA.2011.5759883","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759883","url":null,"abstract":"This paper present the results of applying dark stretching technique to enhance and segment the Plasmodium Falciparum based on thick blood smear images. Image enhancement is the process to improve the quality (clarity) of images for human viewing. Removing blurring and noise, increasing contrast, and revealing details are examples of enhancement operations. Reducing the noise and blurring and increasing the contrast range could enhance the image. The original image might have areas of very high and very low intensity, which mask details. Segmentation is to cluster pixels into salient image regions, i.e., regions corresponding to individual surfaces, objects, or natural parts of objects.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127417575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759878
M. K. Osman, M. Y. Mashor, H. Jaafar
This paper describes an approach to automate the detection and classification of tuberculosis (TB) bacilli in tissue section using image processing technique and feedforward neural network trained by Extreme Learning Machine. It aims to assist pathologists in TB diagnosis and give an alternative to the conventional manual screening process, which is time-consuming and labour-intensive. Images are captured from Ziehl-Neelsen (ZN) stained tissue slides using light microscope as it is commonly used approach for diagnosis of TB. Then colour image segmentation is used to locate the regions correspond to the bacilli. After that, affine moment invariants are extracted to represent the segmented regions. These features are invariant under rotation, scale and translation, thus useful to represent the bacilli. Finally, a single layer feedforward neural network (SLFNN) trained by Extreme Learning Machine (ELM) is used to detect and classify the features into three classes: ‘TB’, ‘overlapped TB’ and ‘non-TB’. The results indicate that the ELM gives acceptable classification performance with shorter training period compared to the standard backpropagation training algorithms.
{"title":"Tuberculosis bacilli detection in Ziehl-Neelsen-stained tissue using affine moment invariants and Extreme Learning Machine","authors":"M. K. Osman, M. Y. Mashor, H. Jaafar","doi":"10.1109/CSPA.2011.5759878","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759878","url":null,"abstract":"This paper describes an approach to automate the detection and classification of tuberculosis (TB) bacilli in tissue section using image processing technique and feedforward neural network trained by Extreme Learning Machine. It aims to assist pathologists in TB diagnosis and give an alternative to the conventional manual screening process, which is time-consuming and labour-intensive. Images are captured from Ziehl-Neelsen (ZN) stained tissue slides using light microscope as it is commonly used approach for diagnosis of TB. Then colour image segmentation is used to locate the regions correspond to the bacilli. After that, affine moment invariants are extracted to represent the segmented regions. These features are invariant under rotation, scale and translation, thus useful to represent the bacilli. Finally, a single layer feedforward neural network (SLFNN) trained by Extreme Learning Machine (ELM) is used to detect and classify the features into three classes: ‘TB’, ‘overlapped TB’ and ‘non-TB’. The results indicate that the ELM gives acceptable classification performance with shorter training period compared to the standard backpropagation training algorithms.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126393917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759899
Norshafinaz Mohd Disa, I. Maarof, Z. Abd Latif, A. Samad
Light Detection and Ranging (LiDAR) is a technology that has been used for years with the variety of applications including the production of digital terrain models (DTMs), and high-accuracy mapping. LiDAR offers a very detailed collection of 3-D point clouds of the earth surface which can be used in generating orthophotos. Traditional orthophoto production based on the DTM has to accept that buildings and other objects above ground are not correctly placed in the orthophoto. These deficiencies can be overcome by simply taking the digital surface model (DSM) into account. In this paper, the literature reviews on the quality of true orthophoto production by fusing the digital aerial photos and LiDAR DSM done by former researchers are investigated. The results of the true orthophoto will be assessed by comparing the output and achievement gained by the researchers on the same field of study.
{"title":"LiDAR : A review on generating digital true orthophoto","authors":"Norshafinaz Mohd Disa, I. Maarof, Z. Abd Latif, A. Samad","doi":"10.1109/CSPA.2011.5759899","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759899","url":null,"abstract":"Light Detection and Ranging (LiDAR) is a technology that has been used for years with the variety of applications including the production of digital terrain models (DTMs), and high-accuracy mapping. LiDAR offers a very detailed collection of 3-D point clouds of the earth surface which can be used in generating orthophotos. Traditional orthophoto production based on the DTM has to accept that buildings and other objects above ground are not correctly placed in the orthophoto. These deficiencies can be overcome by simply taking the digital surface model (DSM) into account. In this paper, the literature reviews on the quality of true orthophoto production by fusing the digital aerial photos and LiDAR DSM done by former researchers are investigated. The results of the true orthophoto will be assessed by comparing the output and achievement gained by the researchers on the same field of study.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129136567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：