caa a22 4500 445300450 CHVBK 20180317142555.0 cr unu---uuuuu 170323e20101201xx s 000 0 eng 10.1007/s11430-010-4133-6 doi (NATIONALLICENCE)springer-10.1007/s11430-010-4133-6 Object-oriented land cover classification using HJ-1 remote sensing imagery [Elektronische Daten] [ZhongPing Sun, WenMing Shen, Bin Wei, XiaoMan Liu, Wei Su, Chao Zhang, JianYu Yang] The object-oriented information extraction technique was used to improve classification accuracy, and addressed the problem that HJ-1 CCD remote sensing images have only four spectral bands with moderate spatial resolution. We used two key techniques: the selection of optimum image segmentation scale and the development of an appropriate object-oriented information extraction strategy. With the principle of minimizing merge cost of merging neighboring pixels/objects, we used spatial autocorrelation index Moran's I and the variance index to select the optimum segmentation scale. The Nearest Neighborhood (NN) classifier based on sampling and a knowledge-based fuzzy classifier were used in the object-oriented information extraction strategy. In this classification step, feature optimization was used to improve information extraction accuracy using reduced data dimension. These two techniques were applied to land cover information extraction for Shanghai city using a HJ-1 CCD image. Results indicate that the information extraction accuracy of the object-oriented method was much higher than that of the pixel-based method. Science China Press and Springer-Verlag Berlin Heidelberg, 2010 HJ-1 remote sensing imagery nationallicence object-oriented nationallicence optimum scale of image segmentation nationallicence Nearest Neighborhood (NN) classification nationallicence fuzzy classification nationallicence Sun ZhongPing Satellite Environment Center, Ministry of Environmental Protection, 100094, Beijing, China aut Shen WenMing Satellite Environment Center, Ministry of Environmental Protection, 100094, Beijing, China aut Wei Bin Satellite Environment Center, Ministry of Environmental Protection, 100094, Beijing, China aut Liu XiaoMan Satellite Environment Center, Ministry of Environmental Protection, 100094, Beijing, China aut Su Wei College of Information and Electrical Engineering, China Agricultural University, 100083, Beijing, China aut Zhang Chao College of Information and Electrical Engineering, China Agricultural University, 100083, Beijing, China aut Yang JianYu College of Information and Electrical Engineering, China Agricultural University, 100083, Beijing, China aut Science China Earth Sciences SP Science China Press 53(2010-12-01), 34-44 1674-7313 53<34 2010 53 11430 https://doi.org/10.1007/s11430-010-4133-6 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11430-010-4133-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Sun ZhongPing Satellite Environment Center, Ministry of Environmental Protection, 100094, Beijing, China aut NATIONALLICENCE 700 1- Shen WenMing Satellite Environment Center, Ministry of Environmental Protection, 100094, Beijing, China aut NATIONALLICENCE 700 1- Wei Bin Satellite Environment Center, Ministry of Environmental Protection, 100094, Beijing, China aut NATIONALLICENCE 700 1- Liu XiaoMan Satellite Environment Center, Ministry of Environmental Protection, 100094, Beijing, China aut NATIONALLICENCE 700 1- Su Wei College of Information and Electrical Engineering, China Agricultural University, 100083, Beijing, China aut NATIONALLICENCE 700 1- Zhang Chao College of Information and Electrical Engineering, China Agricultural University, 100083, Beijing, China aut NATIONALLICENCE 700 1- Yang JianYu College of Information and Electrical Engineering, China Agricultural University, 100083, Beijing, China aut NATIONALLICENCE 773 0- Science China Earth Sciences SP Science China Press 53(2010-12-01), 34-44 1674-7313 53<34 2010 53 11430 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer