While the spatial resolution of remotely sensed data has improved, multispectral imagery is still... more While the spatial resolution of remotely sensed data has improved, multispectral imagery is still not sufficient for urban classification. Problems include the difficulty in discriminating between trees and grass, the misclassification of buildings due to diverse roof compositions and shadow effects. Recently, aerial LiDAR data have been integrated with imagery to obtain better classification results. The LiDAR-derived nDSMs become an important factor for urban classification based on the experimental results. To generate better DEMs, we presents an adaptive LiDAR data-filtering algorithm that effectively filters out ground objects. In this book, we also propose a knowledge-based classification system (KBCS) which can improve overall accuracy by 12 and 7% compared to maximum likelihood and object- based classification, respectively. The implementation details of KBCS are discussed using Matlab, ERDAS IMAGINE Expert Classifier, and eCognition. All the programs presented in this book ...
1Department of Marine Environment and Engineering National Sun Yat-Sen University No. 70, Lien-ha... more 1Department of Marine Environment and Engineering National Sun Yat-Sen University No. 70, Lien-hai Rd., Kaohsiung 804, Taiwan swshyue@faculty.nsysu.edu.tw 2Department of Applied Science Naval Academy No. 669, Junxiao Rd., Kaohsiung 813, Taiwan ∗ Corresponding ...
Oceanic internal waves play an important role in fishing activities and the safety of oil drillin... more Oceanic internal waves play an important role in fishing activities and the safety of oil drilling platforms, as well as the navy’s antisubmarine warfare (ASW) and the safety of submarines. Due to its characteristics of relatively all weather capability, Synthetic Aperture Radar (SAR) images became popular in observing the appearance of oceanic internal waves recently. The purpose of this study is to develop a methodology and a computer assisted tool to extract features of internal waves based on SAR imagery using spatial information techniques including digital image processing, wavelet transform, and geographic information analysis. Among the methods of feature extraction, edge detection will be the primary method for extracting features of oceanic internal waves. Thus, methods of Canny, WTMM (Wavelet Transform Modulus Maxima), and Wavelet Correlator will be implemented and investigated for selecting a proper edge detector. The developed tool will then be applied to extract featur...
While the spatial resolution of remotely sensed data has improved, multispectral imagery is still... more While the spatial resolution of remotely sensed data has improved, multispectral imagery is still not sufficient for urban classification. Problems include the difficulty in discriminating between trees and grass, the misclassification of buildings due to diverse roof compositions and shadow effects. Recently, aerial LiDAR data have been integrated with imagery to obtain better classification results. The LiDAR-derived nDSMs become an important factor for urban classification based on the experimental results. To generate better DEMs, we presents an adaptive LiDAR data-filtering algorithm that effectively filters out ground objects. In this book, we also propose a knowledge-based classification system (KBCS) which can improve overall accuracy by 12 and 7% compared to maximum likelihood and object- based classification, respectively. The implementation details of KBCS are discussed using Matlab, ERDAS IMAGINE Expert Classifier, and eCognition. All the programs presented in this book ...
1Department of Marine Environment and Engineering National Sun Yat-Sen University No. 70, Lien-ha... more 1Department of Marine Environment and Engineering National Sun Yat-Sen University No. 70, Lien-hai Rd., Kaohsiung 804, Taiwan swshyue@faculty.nsysu.edu.tw 2Department of Applied Science Naval Academy No. 669, Junxiao Rd., Kaohsiung 813, Taiwan ∗ Corresponding ...
Oceanic internal waves play an important role in fishing activities and the safety of oil drillin... more Oceanic internal waves play an important role in fishing activities and the safety of oil drilling platforms, as well as the navy’s antisubmarine warfare (ASW) and the safety of submarines. Due to its characteristics of relatively all weather capability, Synthetic Aperture Radar (SAR) images became popular in observing the appearance of oceanic internal waves recently. The purpose of this study is to develop a methodology and a computer assisted tool to extract features of internal waves based on SAR imagery using spatial information techniques including digital image processing, wavelet transform, and geographic information analysis. Among the methods of feature extraction, edge detection will be the primary method for extracting features of oceanic internal waves. Thus, methods of Canny, WTMM (Wavelet Transform Modulus Maxima), and Wavelet Correlator will be implemented and investigated for selecting a proper edge detector. The developed tool will then be applied to extract featur...
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